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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. 8-RES-JB
    11. 430
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    INDEX
    Explanations

    adjectives emphasizing a high degree or intensity

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and phrases indicating severity, limitation, or early occurrence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xit
    -0.72
    thood
    -0.67
    arser
    -0.67
    iatrics
    -0.65
    arer
    -0.64
    onto
    -0.64
    equ
    -0.64
    ews
    -0.61
    ighter
    -0.61
    elines
    -0.61
    POSITIVE LOGITS
     indeed
    1.04
     (>
    0.90
     (~
    0.80
    idious
    0.74
     sounding
    0.70
     thing
    0.66
     âĶľ
    0.65
     portrait
    0.63
    isable
    0.61
     affair
    0.61
    Activations Density 0.316%

    No Known Activations