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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of medical diagnoses

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "diagnosed" in the context of medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bye
    -0.76
    assi
    -0.67
    prev
    -0.64
    standing
    -0.63
    ——
    -0.61
    nature
    -0.60
    perty
    -0.60
    ogue
    -0.60
     admirable
    -0.60
    de
    -0.59
    POSITIVE LOGITS
     diagnosed
    1.15
    inois
    0.86
    omas
    0.80
     diagnoses
    0.79
     Diagn
    0.79
     diagnosis
    0.78
    lehem
    0.76
    ãĤ¤ãĥĪ
    0.74
    ostics
    0.74
    renheit
    0.73
    Activations Density 0.011%

    No Known Activations