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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. 12200
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    Explanations

    references to the oil and gas industry

    oai_token-act-pair · gpt-3.5-turbo

    references to the oil and gas industry

    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
    blance
    -0.88
    ADRA
    -0.75
    owship
    -0.73
    ESE
    -0.70
    iae
    -0.68
    LI
    -0.68
    itatively
    -0.67
     Ratings
    -0.66
    overe
    -0.65
    rise
    -0.65
    POSITIVE LOGITS
    drm
    0.71
     cart
    0.67
    uddin
    0.65
    fortune
    0.65
     Esports
    0.65
     minerals
    0.64
     raft
    0.64
     fishing
    0.64
     vinegar
    0.62
     alcohol
    0.62
    Activations Density 0.268%

    No Known Activations