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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. 14330
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    INDEX
    Explanations

    indications of strong emphasis or necessity

    oai_token-act-pair · gpt-3.5-turbo

    frequent phrases indicating necessity or obligation

    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
     likewise
    -0.76
     equally
    -0.72
     inevitably
    -0.72
     invariably
    -0.72
     optionally
    -0.70
     admittedly
    -0.70
     presumably
    -0.68
     rightfully
    -0.68
     alternatively
    -0.67
    ilateral
    -0.66
    POSITIVE LOGITS
    hing
    0.84
    rawdownloadcloneembedreportprint
    0.72
    hin
    0.71
     whats
    0.70
    hig
    0.69
     charact
    0.69
    tin
    0.67
    govtrack
    0.66
    estate
    0.65
     cared
    0.65
    Activations Density 0.210%

    No Known Activations