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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. 9-RES-JB
    6. 10506
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    Explanations

    statements or quotes by spokespersons

    oai_token-act-pair · gpt-3.5-turbo

    instances of reported speech or quotations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    à¦
    -0.74
    Hung
    -0.72
    Lens
    -0.71
    ãĥĻ
    -0.71
    Honest
    -0.70
    romising
    -0.70
    à
    -0.68
    ocaust
    -0.68
    illions
    -0.68
    BILL
    -0.68
    POSITIVE LOGITS
    terday
    0.83
     "[
    0.76
     "(
    0.76
    :"
    0.75
     yesterday
    0.73
     briefed
    0.73
     there
    0.73
     Ago
    0.72
     Tuesday
    0.72
     spokesman
    0.71
    Activations Density 0.178%

    No Known Activations