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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. 12360
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    Explanations

    words related to legal matters and official documents

    oai_token-act-pair · gpt-3.5-turbo

    references to specific cultural or societal issues

    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
    sounding
    -0.97
    imposed
    -0.83
    rising
    -0.74
    heartedly
    -0.71
    Previous
    -0.71
    Toronto
    -0.70
    watching
    -0.70
    atories
    -0.69
    cock
    -0.69
    DOWN
    -0.69
    POSITIVE LOGITS
     Bundes
    1.46
     Zeit
    1.35
     Spiel
    1.25
     Aus
    1.25
     Ges
    1.23
     Volks
    1.21
     Ãľ
    1.13
     Schl
    1.08
     Fra
    1.07
     Vers
    1.07
    Activations Density 0.056%

    No Known Activations