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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. 1-RES-JB
    11. 8925
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    Explanations

    names of locations, specifically places in Houston

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Houston

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DonaldTrump
    -0.85
    udic
    -0.83
    lihood
    -0.79
    BOOK
    -0.78
    unct
    -0.75
    uchin
    -0.73
    pmwiki
    -0.68
    arial
    -0.68
    skirts
    -0.67
    ktop
    -0.67
    POSITIVE LOGITS
     Texans
    1.30
     Astros
    1.17
     Dynamo
    1.14
    STON
    1.10
     Rockets
    1.06
     Houston
    1.03
    Houston
    1.00
     Oilers
    0.85
     Chronicle
    0.84
     skyline
    0.79
    Activations Density 0.009%

    No Known Activations