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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. 8-RES-JB
    11. 10862
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    INDEX
    Explanations

    numeric values followed by units of measurement

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data and statistics related to time frames and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    loo
    -0.74
    multipl
    -0.73
    chwitz
    -0.70
    lay
    -0.67
    comb
    -0.66
    ramid
    -0.66
    raught
    -0.65
    yrinth
    -0.65
    grave
    -0.64
    llor
    -0.63
    POSITIVE LOGITS
     cents
    0.90
     minutes
    0.86
     percent
    0.86
     hours
    0.85
     weeks
    0.83
    %.
    0.80
     seconds
    0.79
     calories
    0.76
    %
    0.74
     days
    0.74
    Activations Density 0.124%

    No Known Activations