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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. 5-RES-JB
    6. 14436
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    Explanations

    references to additional information or related topics

    oai_token-act-pair · gpt-3.5-turbo

    references to additional content or sources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    angan
    -0.90
    ufact
    -0.70
    heit
    -0.66
    vernight
    -0.65
    atform
    -0.63
     Shutdown
    -0.63
    issance
    -0.62
     depended
    -0.60
    tein
    -0.60
    mort
    -0.59
    POSITIVE LOGITS
    paren
    0.69
    unal
    0.68
    onnaissance
    0.67
     similarities
    0.67
     footprints
    0.66
     afar
    0.65
    Spread
    0.65
    ideos
    0.65
    xual
    0.65
     limits
    0.65
    Activations Density 0.126%

    No Known Activations