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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. 7-RES-JB
    6. 15570
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    Explanations

    computer-related specific steps or instructions

    oai_token-act-pair · gpt-3.5-turbo

    empty placeholder tokens or formatting elements likely indicating structural components of the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kef
    -0.70
    .","
    -0.68
    phia
    -0.67
    tin
    -0.66
    itent
    -0.61
    hung
    -0.61
    bilt
    -0.60
     ''
    -0.59
     Antar
    -0.58
     cle
    -0.58
    POSITIVE LOGITS
    jamin
    0.94
    resa
    0.77
    iculty
    0.77
    withstanding
    0.72
     Sample
    0.70
    ordable
    0.69
    bidden
    0.69
    ertodd
    0.68
     Contents
    0.67
    llor
    0.66
    Activations Density 0.181%

    No Known Activations