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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. 10891
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    Explanations

    excitement-related terms

    oai_token-act-pair · gpt-3.5-turbo

    expressions of excitement or exhilaration

    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
    loo
    -0.75
    folk
    -0.74
     greens
    -0.69
    boarding
    -0.68
     Leilan
    -0.67
    fall
    -0.67
    liness
    -0.65
    board
    -0.63
     liner
    -0.63
    DragonMagazine
    -0.63
    POSITIVE LOGITS
    itement
    1.28
    ruciating
    1.07
    ursions
    1.03
    ursion
    1.01
    exc
    0.94
    uses
    0.94
    ption
    0.93
    use
    0.92
    Exc
    0.92
    ited
    0.91
    Activations Density 0.015%

    No Known Activations