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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. 12453
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    Explanations

    technical terms related to specific fields like functional equivalences, biological concepts, and design principles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to specific concepts or classifications within scientific and technical contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    swer
    -0.63
    insula
    -0.61
    OTAL
    -0.60
    lished
    -0.59
    mble
    -0.57
    itored
    -0.57
    ighed
    -0.56
    allery
    -0.56
    kson
    -0.54
    anwhile
    -0.54
    POSITIVE LOGITS
    coin
    0.74
    Semitism
    0.70
    paren
    0.70
     neutrality
    0.69
     versus
    0.69
    ism
    0.67
    ivism
    0.66
    cigarettes
    0.65
     warfare
    0.63
    atism
    0.62
    Activations Density 0.899%

    No Known Activations