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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. 0-RES-JB
    11. 2250
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    Explanations

    phrases indicating improvement or progress

    oai_token-act-pair · gpt-3.5-turbo

    terms related to improvements and enhancements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Held
    -0.73
    eps
    -0.71
    nai
    -0.69
     Bind
    -0.69
     Masquerade
    -0.68
     Pos
    -0.65
     Dir
    -0.65
     unwittingly
    -0.63
     Pand
    -0.62
    plets
    -0.62
    POSITIVE LOGITS
     improvement
    3.84
     Improvement
    2.56
     improvements
    2.55
    improve
    2.38
     Improvements
    1.95
    Improve
    1.91
     improved
    1.87
     improving
    1.86
     enhancement
    1.83
     improve
    1.69
    Activations Density 0.018%

    No Known Activations