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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. 6-RES-JB
    11. 15326
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    INDEX
    Explanations

    mentions of responsive or responsible behavior or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to responsibility and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BALL
    -0.83
    fare
    -0.73
    ctors
    -0.68
    ãĥĥãĤ¯
    -0.65
     Tanzania
    -0.64
    âĢ¢âĢ¢
    -0.63
     AMERICA
    -0.63
     Lantern
    -0.62
     knots
    -0.62
     Sabha
    -0.61
    POSITIVE LOGITS
    ibilities
    1.08
    onding
    1.05
    ibly
    1.00
    awn
    0.98
    encies
    0.92
    ivated
    0.90
    ively
    0.89
    ensible
    0.89
    earance
    0.88
    onder
    0.87
    Activations Density 0.028%

    No Known Activations