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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. 10138
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    INDEX
    Explanations

    the word "ought."

    oai_token-act-pair · gpt-3.5-turbo

    expressions of obligation or advice

    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
    Arab
    -0.66
    omics
    -0.63
     Polo
    -0.60
    packs
    -0.59
    dream
    -0.59
    ula
    -0.59
    ZI
    -0.59
     Puzzle
    -0.59
    oric
    -0.58
    gren
    -0.57
    POSITIVE LOGITS
    EStream
    0.86
    lessly
    0.84
     disclaim
    0.76
    ĺħ
    0.74
    ratulations
    0.74
    rils
    0.73
    entious
    0.73
    DragonMagazine
    0.73
    ILY
    0.71
    lest
    0.71
    Activations Density 0.007%

    No Known Activations