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

    references to the fast-food chain "McDonald's"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "McDonald."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.73
    ourced
    -0.68
     downt
    -0.64
     Luxem
    -0.64
    atory
    -0.63
     Gemini
    -0.63
     nominal
    -0.62
    udic
    -0.62
    debian
    -0.60
    onies
    -0.60
    POSITIVE LOGITS
    intosh
    0.95
    donald
    0.87
    loo
    0.84
     McDonald
    0.81
    Afee
    0.80
    ufact
    0.78
    ©¶æ¥µ
    0.75
    ards
    0.74
    mens
    0.74
     oats
    0.74
    Activations Density 0.006%

    No Known Activations