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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. 6779
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    Explanations

    words related to physical ailments or medical procedures

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and significant names

    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
     Johnston
    -1.01
     Kap
    -0.89
    kl
    -0.88
     Kad
    -0.86
     kil
    -0.86
     Klu
    -0.84
     Kass
    -0.82
     Jama
    -0.82
     bil
    -0.79
     Krist
    -0.78
    POSITIVE LOGITS
    ure
    1.10
    URE
    1.04
    ĵ
    0.99
    ĵĺ
    0.90
    ears
    0.89
    ures
    0.88
    Ĵ
    0.81
     Express
    0.81
    URES
    0.80
    urer
    0.78
    Activations Density 0.321%

    No Known Activations