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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. 3-RES-JB
    11. 8707
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    Explanations

    mentions of firearms or gun-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to gun control and ownership

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chrys
    -0.78
     Hort
    -0.78
     Strawberry
    -0.77
     Atmosp
    -0.73
    eff
    -0.73
     Publication
    -0.72
     Archdemon
    -0.72
     Period
    -0.71
    ĸļ
    -0.70
    UTC
    -0.67
    POSITIVE LOGITS
    powder
    1.31
     guns
    1.13
     gun
    0.99
    boats
    0.97
     firearms
    0.94
     salute
    0.94
     pistols
    0.88
     handguns
    0.87
    fighters
    0.87
    fighter
    0.87
    Activations Density 0.021%

    No Known Activations