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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. 21500
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    Explanations

    comparisons or contrasts

    oai_token-act-pair · gpt-3.5-turbo

    comparisons and phrases indicating frequency or likelihood

    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
    ebin
    -0.68
    ellation
    -0.67
    resa
    -0.66
     largeDownload
    -0.64
    enhagen
    -0.64
    aucuses
    -0.62
    erness
    -0.61
     Sources
    -0.60
    sha
    -0.60
    iple
    -0.59
    POSITIVE LOGITS
     usual
    0.89
     desired
    0.79
     others
    0.79
     necessary
    0.76
     not
    0.74
     expected
    0.74
     intended
    0.74
     anticipated
    0.72
     otherwise
    0.71
     convenient
    0.70
    Activations Density 0.044%

    No Known Activations