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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. 7-RES-JB
    11. 7792
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    Explanations

    numbers in specific contexts or phrases

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to statistics or percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raught
    -0.73
    lay
    -0.72
    grave
    -0.69
    multipl
    -0.68
    intensity
    -0.67
    loo
    -0.66
    wered
    -0.65
    chwitz
    -0.64
    comb
    -0.64
    gran
    -0.64
    POSITIVE LOGITS
     cents
    0.94
     percent
    0.87
     weeks
    0.87
     hours
    0.82
     minutes
    0.81
     feet
    0.78
    eenth
    0.77
    een
    0.76
     Eag
    0.74
     anymore
    0.73
    Activations Density 0.121%

    No Known Activations