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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. 10-RES-JB
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    Explanations

    references to Argentina and Argentine entities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Argentina and associated locations or contexts

    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
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    No Comments

    Negative Logits
    naissance
    -0.77
    gling
    -0.77
    hower
    -0.74
    bler
    -0.73
    vity
    -0.72
    mith
    -0.69
    jri
    -0.68
    ŃĶ
    -0.68
    hate
    -0.68
    ::::::::
    -0.67
    POSITIVE LOGITS
     Aires
    1.41
     pes
    1.14
     Uruguay
    1.01
    idad
    0.97
     Jorge
    0.95
     Argentine
    0.92
     Argentina
    0.91
     Ecuador
    0.90
    illo
    0.89
     Peru
    0.89
    Activations Density 0.045%

    No Known Activations