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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. 10-RES-JB
    11. 9285
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    Explanations

    statistical terms and information

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to statistical analysis and significant correlations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.75
    mare
    -0.73
     Ready
    -0.72
    terday
    -0.72
     Talks
    -0.71
    pleted
    -0.69
    Fighting
    -0.69
     Parkway
    -0.68
     Garage
    -0.67
    Kid
    -0.67
    POSITIVE LOGITS
     correlations
    1.59
     statistically
    1.57
     correlation
    1.53
     statistical
    1.52
     heterogeneity
    1.49
     variance
    1.48
     bias
    1.40
     coefficients
    1.37
     causation
    1.37
     coefficient
    1.36
    Activations Density 0.489%

    No Known Activations