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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 10851
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    Explanations

    references to a specific person or entity named "Miller."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Miller."

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

    No Comments

    Negative Logits
    liest
    -1.03
     quo
    -0.87
    angular
    -0.81
    liness
    -0.76
    want
    -0.75
    initialized
    -0.74
    rous
    -0.72
    ulatory
    -0.72
    ulates
    -0.71
    lier
    -0.70
    POSITIVE LOGITS
     Miller
    1.04
     Lite
    0.88
     Mayhem
    0.84
    hound
    0.80
    beer
    0.74
    myra
    0.69
    oche
    0.69
    endale
    0.68
    quist
    0.68
    ophon
    0.67
    Activations Density 0.010%

    No Known Activations