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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. 11-RES-JB
    11. 22167
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    Explanations

    numeric sequences or codes

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with specific data points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     dens
    -0.72
     reconc
    -0.71
    20439
    -0.68
     conventions
    -0.68
     compan
    -0.67
     mathemat
    -0.65
    choes
    -0.65
     carriage
    -0.63
    opian
    -0.63
     convention
    -0.62
    POSITIVE LOGITS
     Injury
    1.00
    Coach
    0.98
     TEAM
    0.94
     Playoff
    0.90
     Penalty
    0.88
     Rookie
    0.87
     Defensive
    0.85
    Overall
    0.85
     Playoffs
    0.84
    HB
    0.84
    Activations Density 0.123%

    No Known Activations