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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 12390
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    Explanations

    statistics and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to statistics or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hran
    -0.77
    akespe
    -0.77
    ovie
    -0.75
     nomine
    -0.73
    asio
    -0.72
    ilater
    -0.72
     encount
    -0.71
    warts
    -0.71
     tremend
    -0.71
    oulos
    -0.69
    POSITIVE LOGITS
    00
    1.19
    91
    0.99
    84
    0.96
    989
    0.95
    765
    0.94
    83
    0.93
    008
    0.93
    886
    0.92
    00000
    0.92
    325
    0.92
    Activations Density 0.158%

    No Known Activations