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

    references to the individual "Taylor Swift"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Taylor."

    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
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    No Comments

    Negative Logits
    rontal
    -0.86
    PDATE
    -0.81
    oard
    -0.78
    undai
    -0.77
    cffff
    -0.76
    ntil
    -0.71
    rely
    -0.71
    hemy
    -0.70
     Ukrain
    -0.68
    vous
    -0.68
    POSITIVE LOGITS
    Made
    1.04
     Swift
    1.00
     Taylor
    0.94
    obi
    0.80
    hurst
    0.77
    ivation
    0.76
    Taylor
    0.76
    folk
    0.73
     Bean
    0.72
    ville
    0.70
    Activations Density 0.011%

    No Known Activations