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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. 9808
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    Explanations

    names, specifically the name "Thompson"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Thompson."

    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
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    No Comments

    Negative Logits
    rator
    -0.83
    mble
    -0.83
    atories
    -0.78
    tes
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    liest
    -0.76
    eas
    -0.76
    utive
    -0.75
    rators
    -0.75
    eer
    -0.75
    nces
    -0.72
    POSITIVE LOGITS
     Reuters
    0.97
     Browne
    0.90
    sonian
    0.84
     Yor
    0.78
     Gunn
    0.76
    stown
    0.74
     Fargo
    0.70
    OGR
    0.69
    STON
    0.65
     Stephenson
    0.64
    Activations Density 0.042%

    No Known Activations