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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. 7-RES-JB
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    Explanations

    mentions of the brand McDonald's

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    mentions of the fast-food chain McDonald's

    oai_token-act-pair · gpt-3.5-turbo
    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
    arial
    -0.76
    ourced
    -0.72
    udic
    -0.67
     Gemini
    -0.67
    hip
    -0.66
    idency
    -0.65
    itars
    -0.65
    ibilities
    -0.64
    atory
    -0.63
    abil
    -0.63
    POSITIVE LOGITS
    intosh
    0.93
    donald
    0.82
    Afee
    0.80
    sburg
    0.78
    mare
    0.76
     Clicker
    0.75
    ¬
    0.75
    Donald
    0.74
    ards
    0.72
    loo
    0.71
    Activations Density 0.024%

    No Known Activations