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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. 3-RES-JB
    11. 17249
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    INDEX
    Explanations

    percentages or ratings that are part of a review or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    references to percentages or degrees of certainty

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    pload
    -0.75
     behavi
    -0.68
    ãĥ¤
    -0.67
     Sakuya
    -0.67
    iden
    -0.66
    isen
    -0.66
     wed
    -0.66
     glim
    -0.65
     Newtown
    -0.64
    verett
    -0.63
    POSITIVE LOGITS
    heartedly
    0.73
    luster
    0.72
    arel
    0.69
    ername
    0.69
    ascript
    0.68
    atinum
    0.67
    production
    0.66
    copy
    0.65
    enhagen
    0.64
    ENCY
    0.63
    Activations Density 0.059%

    No Known Activations