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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. 0-RES-JB
    6. 22069
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    Explanations

    numeric values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Luther
    -0.77
    tis
    -0.76
     Flor
    -0.75
     Ariel
    -0.73
     Venezuel
    -0.70
    ε
    -0.69
     Pengu
    -0.66
    ģĸ
    -0.66
    riel
    -0.65
     Alvin
    -0.64
    POSITIVE LOGITS
    escape
    0.71
    ictive
    0.69
    iculty
    0.69
    hire
    0.67
    acia
    0.67
    erent
    0.66
    cially
    0.65
    ournament
    0.65
    ADA
    0.64
    enced
    0.64
    Activations Density 0.000%

    No Known Activations