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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. 18355
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to The New York Times and its content delivery options

    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
    ecause
    -0.71
     barric
    -0.65
     theor
    -0.61
    fman
    -0.61
     Haram
    -0.60
    tein
    -0.59
     gam
    -0.59
     Myst
    -0.57
     idle
    -0.57
    bara
    -0.56
    POSITIVE LOGITS
     Newsletter
    0.78
    interstitial
    0.71
     Thumbnails
    0.68
     Browse
    0.68
    thumbnails
    0.68
    osion
    0.66
    apple
    0.65
    push
    0.64
     subscribe
    0.62
    email
    0.62
    Activations Density 0.040%

    No Known Activations