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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 17295
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    INDEX
    Explanations

    words related to comparison, evaluation, or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    words that indicate emphasis or intensity in statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    士
    -0.68
    available
    -0.61
    anium
    -0.60
    cream
    -0.59
    taboola
    -0.58
    Micro
    -0.56
    enium
    -0.55
    unta
    -0.55
    etus
    -0.55
    worker
    -0.55
    POSITIVE LOGITS
     unsurprisingly
    0.55
     Woodward
    0.53
     Schiff
    0.53
     McCull
    0.52
     Miliband
    0.51
     Harriet
    0.50
     Starr
    0.50
     Sharif
    0.49
     Rosenberg
    0.49
     unsuccessfully
    0.49
    Activations Density 0.942%

    No Known Activations