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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 2654
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    Explanations

    phrases related to problem-solving or coming to conclusions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to problem-solving and understanding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    nces
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    ysical
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    ricular
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    rf
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    missions
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     Liberties
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    bringing
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    riott
    -0.52
    iles
    -0.52
     focal
    -0.52
    POSITIVE LOGITS
    out
    1.01
    Out
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    outs
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     out
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    OUT
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     OUT
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    onite
    0.74
    insky
    0.72
    BILL
    0.71
    tip
    0.71
    Activations Density 0.569%

    No Known Activations