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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. 2-RES-JB
    11. 18678
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    Explanations

    various symbols and specific patterns, possibly related to coding or formatting

    oai_token-act-pair · gpt-3.5-turbo

    variations of specific symbols or formatting elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mathemat
    -0.61
    wagen
    -0.61
    wcs
    -0.60
     oun
    -0.58
    ĸļ
    -0.57
     hon
    -0.57
     Samar
    -0.57
    omorphic
    -0.57
    omnia
    -0.55
    ĵĺ
    -0.54
    POSITIVE LOGITS
     Ibid
    0.74
    endif
    0.70
    \-
    0.68
    """
    0.63
    cond
    0.60
    self
    0.59
    */
    0.57
    dimension
    0.57
     istg
    0.56
    cum
    0.56
    Activations Density 0.847%

    No Known Activations