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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. 9-RES-JB
    11. 14084
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    Explanations

    proper nouns or names, specifically those related to individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    instances of "large" followed by any category of creatures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pwr
    -0.67
    kward
    -0.65
    illed
    -0.64
    ILD
    -0.64
    ulate
    -0.64
    structed
    -0.63
    Zen
    -0.63
    ULT
    -0.63
    ulated
    -0.62
    ulating
    -0.62
    POSITIVE LOGITS
    oyd
    1.04
    yrics
    0.91
    ongevity
    0.91
    azy
    0.87
    ibrary
    0.87
     Luthor
    0.83
    uania
    0.82
    adders
    0.81
    uggage
    0.80
    gow
    0.80
    Activations Density 0.223%

    No Known Activations