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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. 21002
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    Explanations

    various names, potentially related to sports teams or individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and places

    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
    ãĥ¼ãĤ¯
    -0.72
    ":"/
    -0.68
    entimes
    -0.62
    iners
    -0.60
    rising
    -0.60
    —
    -0.60
    algia
    -0.60
    =\"
    -0.60
    iculty
    -0.59
    worldly
    -0.59
    POSITIVE LOGITS
     etc
    1.46
    etc
    1.07
     Moroc
    0.91
     et
    0.86
     Seat
    0.83
     Osc
    0.79
     Sod
    0.78
     Et
    0.77
     Yor
    0.77
     Pol
    0.76
    Activations Density 0.189%

    No Known Activations