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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 10-RES-JB
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    Explanations

    references to the city of Paris

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Paris

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITH
    -0.74
    uilt
    -0.72
    ocument
    -0.72
    clips
    -0.69
    isSpecialOrderable
    -0.68
    rahim
    -0.67
     Uzbek
    -0.67
    pta
    -0.67
    arijuana
    -0.66
    onent
    -0.64
    POSITIVE LOGITS
     Hilton
    1.26
    ienne
    1.17
    ian
    1.02
    ians
    1.00
    iens
    0.91
    furt
    0.91
     Saint
    0.89
    bourg
    0.87
     Attacks
    0.86
     Mé
    0.85
    Activations Density 0.021%

    No Known Activations