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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. 9-RES-JB
    11. 9948
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific pattern or substring within words

    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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    No Comments

    Negative Logits
     poppy
    -0.66
    20439
    -0.64
     AMERICA
    -0.62
     goose
    -0.61
     Winchester
    -0.60
    mpeg
    -0.60
     DMV
    -0.60
    DIT
    -0.59
     fide
    -0.57
     common
    -0.56
    POSITIVE LOGITS
    achu
    1.27
    ernel
    1.22
    ernels
    1.20
    rish
    1.11
    owski
    1.04
    ileaks
    1.02
    ku
    1.01
    yu
    1.00
    hs
    1.00
    owsky
    0.99
    Activations Density 0.052%

    No Known Activations