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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. 8284
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    Explanations

    numeric values related to millions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to large numerical quantities or statistics

    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
    imen
    -0.78
    dates
    -0.74
    abulary
    -0.73
    krit
    -0.70
    date
    -0.70
    comes
    -0.68
    char
    -0.67
    emia
    -0.67
    bara
    -0.67
    rival
    -0.66
    POSITIVE LOGITS
     dollars
    1.07
     yuan
    0.94
     pounds
    0.93
     hectares
    0.92
     yen
    0.91
     euros
    0.90
     volts
    0.90
     dollar
    0.88
     lbs
    0.88
    aires
    0.85
    Activations Density 0.047%

    No Known Activations