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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. 9-RES-JB
    11. 19479
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    INDEX
    Explanations

    statistical terms and mathematical concepts, including distributions, processes, regression, and correlations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to statistical analysis and research metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chu
    -0.79
    ::::::::
    -0.75
    pkg
    -0.70
    kie
    -0.68
     Pets
    -0.68
    aucus
    -0.67
     Voices
    -0.67
    ahime
    -0.67
     Spani
    -0.66
    glers
    -0.65
    POSITIVE LOGITS
     coefficient
    1.64
     coefficients
    1.60
     curve
    1.16
     theorem
    1.16
     correlations
    1.13
     correlation
    1.13
     equation
    1.09
     equations
    1.09
     predictor
    1.08
     regression
    1.06
    Activations Density 0.272%

    No Known Activations