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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. 11438
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    INDEX
    Explanations

    verbal phrases related to utilizing and interpreting data for various purposes

    oai_token-act-pair · gpt-3.5-turbo

    connections between data and decision-making processes

    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
    esc
    -0.71
    ortment
    -0.70
    unic
    -0.69
    âĶģ
    -0.67
    escent
    -0.66
     Virtue
    -0.66
    ¥µ
    -0.65
     Exception
    -0.63
     exception
    -0.63
    Cooldown
    -0.63
    POSITIVE LOGITS
     insights
    1.00
     conclusions
    0.99
     determine
    0.97
     insight
    0.94
     reconstruct
    0.91
     extrap
    0.90
     analysis
    0.90
     determining
    0.90
     analyze
    0.89
     decipher
    0.89
    Activations Density 0.638%

    No Known Activations