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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
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    Explanations

    mentions of the city "Montreal."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city and sports teams associated with Montreal

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ullivan
    -0.90
    omaly
    -0.73
    gets
    -0.68
     Saiyan
    -0.68
    baugh
    -0.68
    herent
    -0.68
    itness
    -0.68
    Äĩ
    -0.66
    ================================================================
    -0.66
    ULTS
    -0.65
    POSITIVE LOGITS
     Canadiens
    1.30
     Gazette
    1.13
     Neurolog
    1.12
    ois
    1.02
     Canad
    0.98
     Impact
    0.92
     Protocol
    0.83
    ers
    0.80
     Vie
    0.76
     Montreal
    0.76
    Activations Density 0.030%

    No Known Activations