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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. 2-RES-JB
    11. 7857
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    Explanations

    mentions of the famous restaurant rating system "Michelin Guide," as well as associated terms and proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to high-quality or Michelin-rated food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ðĿ
    -0.71
     rook
    -0.69
     erect
    -0.64
     Vaj
    -0.63
    İĭ
    -0.61
     bearded
    -0.60
     Carbuncle
    -0.59
     Elephant
    -0.59
     Moose
    -0.58
    Balt
    -0.58
    POSITIVE LOGITS
    tti
    1.04
    lli
    1.03
    lla
    1.01
    iche
    0.94
    cles
    0.93
    tta
    0.92
    tto
    0.91
    enne
    0.88
    yne
    0.84
    terness
    0.82
    Activations Density 0.008%

    No Known Activations