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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
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    Explanations

    locations related to the city of Seattle

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Seattle

    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
     centrif
    -0.77
     learnt
    -0.75
    FN
    -0.75
     Gaddafi
    -0.73
     GC
    -0.73
    dial
    -0.72
    Pic
    -0.71
    nah
    -0.70
     loader
    -0.70
     Jinn
    -0.70
    POSITIVE LOGITS
     Seattle
    3.55
    Seattle
    3.52
     Tacoma
    2.47
     Spokane
    2.15
     Seahawks
    2.07
     Portland
    2.04
    Portland
    1.97
     Vancouver
    1.97
     Minneapolis
    1.95
     Sounders
    1.93
    Activations Density 0.028%

    No Known Activations