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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. 18471
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    Explanations

    proper nouns related to people's names

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals

    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
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    No Comments

    Negative Logits
     rob
    -0.69
    insula
    -0.67
    yright
    -0.67
    ciating
    -0.65
     foss
    -0.65
    vernment
    -0.63
    IBLE
    -0.63
     pencil
    -0.62
     Predator
    -0.62
     Circle
    -0.62
    POSITIVE LOGITS
    ti
    0.95
    hak
    0.90
    onest
    0.86
    azard
    0.85
    merga
    0.81
    mad
    0.80
    annah
    0.80
    indu
    0.80
    yy
    0.79
    dar
    0.78
    Activations Density 0.050%

    No Known Activations