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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. 11-RES-JB
    11. 23786
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    Explanations

    words related to productivity and organization

    oai_token-act-pair · gpt-3.5-turbo

    words related to manipulation or control in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Middle
    -0.45
     Pav
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     Sunshine
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     insider
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    POL
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     Thirty
    -0.42
     Five
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    GO
    -0.42
     Hub
    -0.41
     Dev
    -0.40
    POSITIVE LOGITS
    inated
    0.93
    itled
    0.90
    antly
    0.86
    inates
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    inately
    0.84
    lished
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    alled
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    ased
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    ifies
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    ursed
    0.81
    Activations Density 0.390%

    No Known Activations