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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. 11-RES-JB
    11. 22354
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    Explanations

    mentions of cities, particularly Toronto, and related keywords

    oai_token-act-pair · gpt-3.5-turbo

    URLs and references to the city of Toronto

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nevada
    -1.21
     Liberia
    -1.18
     Wyoming
    -1.04
     Montana
    -1.04
     Idaho
    -1.03
     Paragu
    -1.02
    Iowa
    -1.01
     Petersen
    -1.01
    Nev
    -1.00
     Boise
    -0.98
    POSITIVE LOGITS
    Toronto
    2.21
     Toronto
    2.06
     TTC
    1.98
     Scarborough
    1.52
     Raptors
    1.51
     Mississ
    1.38
     Ontario
    1.37
     Leafs
    1.36
     Peel
    1.34
    TOR
    1.33
    Activations Density 0.425%

    No Known Activations