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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. 0-RES-JB
    11. 11576
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    INDEX
    Explanations

    words related to quickness or promptness

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "swift" and also identify contexts related to urgency or premature events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    epad
    -0.67
    heit
    -0.66
     indexes
    -0.66
    Reloaded
    -0.65
     Controls
    -0.64
     Aph
    -0.63
     intersect
    -0.63
    aples
    -0.62
    ####
    -0.61
    ibaba
    -0.61
    POSITIVE LOGITS
     swift
    2.35
     speedy
    1.88
     premature
    1.71
     unanimous
    1.51
     lifelong
    1.48
     costly
    1.37
     gradual
    1.31
     vigorous
    1.29
     unilateral
    1.20
     courageous
    1.20
    Activations Density 0.033%

    No Known Activations