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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. 1-RES-JB
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    Explanations

    mentions of the country "France"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of France

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iary
    -0.85
    uilt
    -0.83
    olescent
    -0.77
    regor
    -0.73
    ownt
    -0.73
    ript
    -0.73
    Discussion
    -0.72
    iaries
    -0.71
    antha
    -0.70
    ramid
    -0.70
    POSITIVE LOGITS
     Marse
    1.00
     France
    0.98
    France
    0.90
     Alps
    0.88
     Hollande
    0.82
     countryside
    0.81
     fries
    0.78
     Mé
    0.76
     Brittany
    0.74
     Telecom
    0.74
    Activations Density 0.011%

    No Known Activations