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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. 0-RES-JB
    11. 7980
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    Explanations

    mentions of individuals or groups involved in gun-related incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to gunmen and related incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Growth
    -0.86
     Yards
    -0.82
     Transactions
    -0.72
     Prest
    -0.71
     655
    -0.70
    ãĥĺ
    -0.67
    fg
    -0.67
     AST
    -0.66
     RELE
    -0.66
     Eng
    -0.66
    POSITIVE LOGITS
     gunmen
    2.35
     gunman
    1.90
     masked
    1.47
     narrator
    1.40
     subtitles
    1.40
    embed
    1.34
     assailants
    1.33
     caption
    1.27
     vide
    1.23
    xual
    1.07
    Activations Density 0.048%

    No Known Activations