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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. 8-RES-JB
    11. 974
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    Explanations

    mentions of Paris

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    references to the city of Paris

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ITH
    -0.83
    uilt
    -0.80
    atcher
    -0.73
    pta
    -0.72
    estern
    -0.72
    arijuana
    -0.70
    iamond
    -0.69
    rahim
    -0.69
    ocument
    -0.68
    ithing
    -0.68
    POSITIVE LOGITS
     Hilton
    1.23
    ienne
    1.00
    ian
    0.96
    furt
    0.92
    ians
    0.89
     Attacks
    0.88
     Mé
    0.82
    bourg
    0.80
     Gas
    0.77
    etta
    0.76
    Activations Density 0.030%

    No Known Activations