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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. 533
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    INDEX
    Explanations

    mentions of cats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    mentions of cats

    oai_token-act-pair · gpt-3.5-turbo
    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
    gur
    -0.74
    mble
    -0.72
    eous
    -0.71
    iosyncr
    -0.69
    ffiti
    -0.69
     Sachs
    -0.67
    indal
    -0.67
    undo
    -0.67
     Protestant
    -0.64
     Fellowship
    -0.63
    POSITIVE LOGITS
    aclysm
    1.36
    heter
    1.18
    fish
    1.08
    chers
    0.98
    cat
    0.97
    cats
    0.93
    alogue
    0.88
     kittens
    0.88
     paws
    0.86
    cher
    0.84
    Activations Density 0.015%

    No Known Activations