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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. 9-RES-JB
    11. 3598
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    Explanations

    specific mentions of a location, specifically "York"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "York."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    phrine
    -0.72
    aeda
    -0.68
    odcast
    -0.64
    âĢ¢âĢ¢
    -0.61
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.61
    âĸ¬âĸ¬
    -0.60
    SPONSORED
    -0.60
     PV
    -0.58
    advertisement
    -0.57
    Oracle
    -0.56
    POSITIVE LOGITS
    town
    1.32
    dale
    0.96
    ville
    0.93
    stones
    0.90
    ouse
    0.87
    stone
    0.87
    ows
    0.86
    bean
    0.85
     Region
    0.85
    ie
    0.84
    Activations Density 0.086%

    No Known Activations