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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. 4-RES-JB
    11. 9256
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    Explanations

    large numerical figures, particularly in the millions, mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "million" in various contexts

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

    No Comments

    Negative Logits
    imen
    -0.85
    abulary
    -0.76
    emia
    -0.72
    lished
    -0.71
    sonian
    -0.70
     Dating
    -0.68
    bara
    -0.67
    comes
    -0.66
    nam
    -0.66
    ifice
    -0.65
    POSITIVE LOGITS
     dollars
    1.06
     hectares
    0.99
     yen
    0.94
     yuan
    0.94
     pounds
    0.92
     euros
    0.90
     pes
    0.87
     kilometers
    0.86
     acres
    0.86
     dollar
    0.86
    Activations Density 0.054%

    No Known Activations