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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. 10-RES-JB
    6. 1492
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    INDEX
    Explanations

    action verbs related to completion or execution

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "out."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    antry
    -0.78
    avorite
    -0.65
    antine
    -0.61
    isma
    -0.59
     tyr
    -0.57
    ppy
    -0.57
    Missing
    -0.56
    kefeller
    -0.56
    EY
    -0.56
    Export
    -0.55
    POSITIVE LOGITS
    wards
    1.22
    stretched
    1.20
    posts
    1.13
    fitted
    1.10
    casts
    1.06
     loud
    0.94
    ta
    0.91
    bur
    0.90
    flows
    0.87
    smart
    0.83
    Activations Density 0.095%

    No Known Activations