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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 7927
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    Explanations

    mentions of veterinarians or veterinary-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to veterinarians and veterinary services

    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
    theless
    -0.98
    lihood
    -0.88
     charism
    -0.80
     Frie
    -0.79
    deen
    -0.76
     Sadd
    -0.75
     Roe
    -0.75
     Quarterly
    -0.70
     Flavoring
    -0.70
    hani
    -0.69
    POSITIVE LOGITS
    hered
    1.03
    aign
    0.87
    ours
    0.85
    nyder
    0.84
    imates
    0.84
    elling
    0.83
    arious
    0.81
    onom
    0.79
    entry
    0.79
    sheet
    0.78
    Activations Density 0.087%

    No Known Activations