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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. 23959
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    Explanations

    mentions of specific names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or names in a narrative context

    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
     Wag
    -0.92
     Bag
    -0.89
    ORK
    -0.85
     Tulsa
    -0.84
     KC
    -0.83
    Kansas
    -0.80
     Yug
    -0.79
     Oklahoma
    -0.79
     Sag
    -0.78
     Gand
    -0.77
    POSITIVE LOGITS
    Lyn
    1.68
     Lynch
    1.64
    Leon
    1.55
    Lu
    1.48
     Leon
    1.45
     Lu
    1.43
    Luc
    1.31
     Luc
    1.30
     Lucy
    1.29
     Lyn
    1.27
    Activations Density 0.393%

    No Known Activations