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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. 6339
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    Explanations

    references to locations in a city, specifically focusing on downtown areas

    oai_token-act-pair · gpt-3.5-turbo

    references to urban areas, specifically downtown locations

    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
    uid
    -0.85
    chnology
    -0.81
    ername
    -0.76
    laughter
    -0.74
    aye
    -0.72
    uth
    -0.72
    atorial
    -0.70
    national
    -0.69
    Skin
    -0.68
    nikov
    -0.68
    POSITIVE LOGITS
     Denver
    1.00
     Oakland
    1.00
     Minneapolis
    0.99
     Detroit
    0.95
     Seattle
    0.95
     skyline
    0.95
     Atlanta
    0.94
     Honolulu
    0.94
     Los
    0.93
     Indianapolis
    0.93
    Activations Density 0.060%

    No Known Activations