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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. 6-RES-JB
    11. 7785
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    INDEX
    Explanations

    numbers, specifically percentages and statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aucus
    -0.75
    pty
    -0.74
    redo
    -0.73
    farious
    -0.68
    riers
    -0.67
    sters
    -0.67
    achus
    -0.66
    pocket
    -0.66
    ellation
    -0.65
    hetti
    -0.64
    POSITIVE LOGITS
     percent
    0.90
     mph
    0.85
     ±
    0.84
    ±
    0.81
     lbs
    0.81
    %
    0.78
     acres
    0.76
     kHz
    0.74
     pounds
    0.74
     percentile
    0.74
    Activations Density 0.066%

    No Known Activations