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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. 6131
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    Explanations

    locations and geographical terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of significant historical events involving cities, particularly bombings and their impacts

    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
    Asian
    -0.81
    FBI
    -0.78
    Australian
    -0.77
    taboola
    -0.75
    Hispanic
    -0.73
    rito
    -0.73
    poon
    -0.71
    wx
    -0.70
    INESS
    -0.70
    Native
    -0.70
    POSITIVE LOGITS
     Stras
    1.82
     Cologne
    1.73
     Marse
    1.69
     Budapest
    1.60
     Zurich
    1.59
     Vienna
    1.57
     Dresden
    1.57
     Dortmund
    1.56
     Munich
    1.56
     Luxembourg
    1.54
    Activations Density 0.276%

    No Known Activations