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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. 4-RES-JB
    11. 9594
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    Explanations

    phrases that indicate a group effort or action

    oai_token-act-pair · gpt-3.5-turbo

    references to collective actions or behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ysis
    -0.74
    eland
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     Gore
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     Elys
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    rers
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    vas
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    yle
    -0.68
    ry
    -0.67
     Garry
    -0.65
    ion
    -0.63
    POSITIVE LOGITS
    umbered
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     barg
    0.79
     Pengu
    0.77
    éĹĺ
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    ãĤ©
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     titled
    0.72
     bundled
    0.70
     identifiable
    0.70
     bom
    0.70
     apologize
    0.69
    Activations Density 0.011%

    No Known Activations