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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. 4-RES-JB
    11. 4219
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    INDEX
    Explanations

    interjections like "uh" or "huh"

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hesitation or uncertainty

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

    No Comments

    Negative Logits
    flies
    -0.84
    女
    -0.82
    milo
    -0.74
    ioned
    -0.72
    BOOK
    -0.72
    IENT
    -0.72
    IUM
    -0.71
    xual
    -0.71
    anguage
    -0.69
    esan
    -0.68
    POSITIVE LOGITS
    awk
    0.80
     pardon
    0.80
    ahah
    0.77
    pps
    0.75
    uru
    0.75
     oh
    0.74
     huh
    0.73
    rah
    0.72
     Huh
    0.72
    umph
    0.71
    Activations Density 0.010%

    No Known Activations