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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. 11-RES-JB
    11. 21821
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and significant people involved in events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Franc
    -1.01
     Gaddafi
    -0.84
    corn
    -0.83
     NEC
    -0.80
     Francis
    -0.78
     maize
    -0.77
     Hannibal
    -0.76
    terness
    -0.75
     Catalan
    -0.75
    omy
    -0.73
    POSITIVE LOGITS
     Sk
    2.63
    Sk
    2.37
     sk
    2.08
    sk
    1.90
     skate
    1.79
     skating
    1.75
     SK
    1.73
     Ski
    1.62
     ski
    1.60
    SK
    1.50
    Activations Density 0.175%

    No Known Activations