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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. 9-RES-JB
    6. 14924
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    Explanations

    nouns related to diseases or health issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to diseases or medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.81
    dies
    -0.80
    icals
    -0.79
    nesday
    -0.78
    istry
    -0.75
    asca
    -0.72
    anyl
    -0.71
    ding
    -0.70
    ishing
    -0.70
    ishop
    -0.68
    POSITIVE LOGITS
    ppe
    0.90
    ño
    0.84
     versa
    0.81
    mble
    0.81
    lda
    0.77
     Amend
    0.76
    eq
    0.76
    FontSize
    0.74
    olate
    0.73
    ller
    0.71
    Activations Density 0.089%

    No Known Activations