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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. 3072
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    Explanations

    words related to success and achievement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a negation or refusal

    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
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    No Comments

    Negative Logits
    uyomi
    -0.73
    arlane
    -0.71
    cients
    -0.70
    rehensive
    -0.68
    azo
    -0.67
    Newsletter
    -0.63
    anut
    -0.61
    unia
    -0.61
     mess
    -0.61
    igmat
    -0.60
    POSITIVE LOGITS
    ¢
    0.79
    elsen
    0.68
    istan
    0.68
     Pulitzer
    0.65
     payoff
    0.64
     bragging
    0.64
    itle
    0.64
     gladly
    0.64
     trophies
    0.63
    ¯
    0.63
    Activations Density 0.128%

    No Known Activations