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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. 0-RES-JB
    11. 10023
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    Explanations

    geographical locations, specifically focusing on the Himalayas

    oai_token-act-pair · gpt-3.5-turbo

    references to the Himalayas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Gas
    -0.73
    wine
    -0.69
     Serge
    -0.69
    draft
    -0.66
     opponents
    -0.64
    verson
    -0.64
    fg
    -0.63
     riot
    -0.63
    gas
    -0.62
     clerks
    -0.62
    POSITIVE LOGITS
     Himal
    3.72
     Hyder
    1.36
     Mahar
    1.29
     Tibetan
    0.97
     Siberian
    0.94
     Everest
    0.93
     yog
    0.92
    ihu
    0.91
     Laksh
    0.91
     Milky
    0.90
    Activations Density 0.041%

    No Known Activations