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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. 10-RES-JB
    11. 5356
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    Explanations

    data-related terms and statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to average statistics or metrics

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¦ãĤ¹
    -0.73
    lez
    -0.72
    afort
    -0.71
    otton
    -0.70
    nuts
    -0.69
    andro
    -0.69
    atography
    -0.69
    dyl
    -0.68
    Ü
    -0.67
    ADRA
    -0.67
    POSITIVE LOGITS
     sized
    1.01
     jo
    1.01
     weekday
    0.95
     lifespan
    0.94
     hourly
    0.93
     fastball
    0.89
     yearly
    0.85
     Joe
    0.82
     age
    0.80
    nesota
    0.78
    Activations Density 0.037%

    No Known Activations