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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 10339
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    INDEX
    Explanations

    mentions or references to a specific person named "Hamm."

    oai_token-act-pair · gpt-3.5-turbo

    words related to mammals, specifically with a focus on "amm" in their spelling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    grade
    -0.69
    take
    -0.64
    Walk
    -0.60
     tilt
    -0.60
     Medicare
    -0.59
     caution
    -0.58
     downgrade
    -0.58
     gaze
    -0.58
     fram
    -0.58
     bottom
    -0.57
    POSITIVE LOGITS
    amm
    1.13
    olit
    1.04
    ush
    0.92
    æ
    0.88
    otte
    0.88
    agic
    0.87
    ocity
    0.84
    arella
    0.84
    oline
    0.84
    stein
    0.83
    Activations Density 0.004%

    No Known Activations