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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. 4471
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    Not in Any Lists

    No Comments

    Negative Logits
    omach
    -0.74
    thia
    -0.72
    enhagen
    -0.69
    seless
    -0.68
    matter
    -0.65
    umo
    -0.65
    idation
    -0.64
    agen
    -0.63
    matic
    -0.63
    ogy
    -0.62
    POSITIVE LOGITS
     actress
    0.89
     novelist
    0.85
     Pulitzer
    0.83
     author
    0.82
     filmmaker
    0.82
     journalist
    0.81
     heroine
    0.80
     bestselling
    0.80
     documentary
    0.78
     artist
    0.78
    Activations Density 0.070%

    No Known Activations