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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. 11-RES-JB
    11. 3328
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    Explanations

    phrases related to medical conditions, scientific terms, and procedures

    oai_token-act-pair · gpt-3.5-turbo

    instances of punctuation or commas in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramids
    -0.70
    acements
    -0.69
    akov
    -0.65
     Secrets
    -0.65
    emonium
    -0.64
    allery
    -0.64
    ONSORED
    -0.64
    ................
    -0.64
    asio
    -0.63
    gow
    -0.63
    POSITIVE LOGITS
     albeit
    1.42
    albeit
    1.03
     nonpartisan
    0.88
     cohesive
    0.85
     though
    0.85
     measurable
    0.85
     bipartisan
    0.84
     uncont
    0.84
     localized
    0.83
     identifiable
    0.83
    Activations Density 0.104%

    No Known Activations