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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. 8-RES-JB
    11. 1974
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    INDEX
    Explanations

    mentions of specific numbers and quantities

    oai_token-act-pair · gpt-3.5-turbo

    quantitative references to casualties or significant data points in discussions of war or conflict

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     retweet
    -0.54
    bnb
    -0.45
     Spoiler
    -0.44
    boxing
    -0.43
     Discord
    -0.43
     Canaver
    -0.43
     Nielsen
    -0.42
     Corker
    -0.42
     Hua
    -0.41
     Rosenstein
    -0.41
    POSITIVE LOGITS
    )).
    0.88
    .�
    0.76
    }.
    0.73
    ''.
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    .).
    0.73
    ).
    0.71
    `.
    0.67
    ]."
    0.67
    )."
    0.67
    '.
    0.65
    Activations Density 1.973%

    No Known Activations