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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
    11. 5108
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    Explanations

    numerical information related to populations, statistics, and historical events

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to population statistics

    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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    Negative Logits
     cents
    -0.65
    Appearance
    -0.57
    Zip
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     PLUS
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     welf
    -0.55
     buttons
    -0.55
     princ
    -0.54
     Atomic
    -0.54
     tweak
    -0.53
     clicks
    -0.52
    POSITIVE LOGITS
     327
    1.18
     322
    1.13
     323
    1.10
     231
    1.10
     326
    1.10
     311
    1.09
     257
    1.09
     337
    1.09
     319
    1.08
     352
    1.08
    Activations Density 0.245%

    No Known Activations