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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12913
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     characterization
    -0.70
    Í
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     manifold
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     inco
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    lore
    -0.64
     scant
    -0.63
     canon
    -0.63
     speculation
    -0.62
     conjecture
    -0.62
    opic
    -0.61
    POSITIVE LOGITS
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    1.30
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    1.16
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    1.13
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    1.08
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    1.04
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    1.03
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    1.01
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    0.99
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    0.98
    Activations Density 0.554%

    No Known Activations