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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. 12582
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    Explanations

    numbers representing years and specific dates

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to dates and statistics

    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
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    No Comments

    Negative Logits
     swearing
    -0.67
     fluct
    -0.65
     ********************************
    -0.60
     stability
    -0.60
     instability
    -0.57
     nothing
    -0.55
     Lumpur
    -0.55
     convincing
    -0.55
     derog
    -0.54
     lows
    -0.54
    POSITIVE LOGITS
    ½
    1.15
     ½
    1.00
    200
    0.95
    120
    0.95
    270
    0.95
    UP
    0.86
    125
    0.83
    222
    0.83
    172
    0.83
    267
    0.82
    Activations Density 0.107%

    No Known Activations