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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. 7-RES-JB
    11. 17237
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    Explanations

    years or dates in particular formats (e.g. 1999 or 2004)

    oai_token-act-pair · gpt-3.5-turbo

    parenthetical references or citations in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahu
    -0.71
    edom
    -0.65
    heastern
    -0.64
    Monitor
    -0.63
     chew
    -0.62
     contiguous
    -0.61
    anya
    -0.60
     scanner
    -0.60
    etsy
    -0.59
    ĵĺ
    -0.59
    POSITIVE LOGITS
     onwards
    1.04
     onward
    0.80
    Reviewer
    0.75
    released
    0.70
     Jah
    0.69
     Gin
    0.67
    govtrack
    0.64
     revised
    0.61
    schild
    0.61
     Prelude
    0.58
    Activations Density 0.318%

    No Known Activations