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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. 23375
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    Explanations

    references to specific Bible verses

    oai_token-act-pair · gpt-3.5-turbo

    references to biblical verses or passages

    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
    ibles
    -0.66
     tradem
    -0.61
    GoldMagikarp
    -0.61
    idays
    -0.61
     loyal
    -0.60
     contestants
    -0.58
     scrut
    -0.57
     steady
    -0.56
     stead
    -0.54
     latent
    -0.54
    POSITIVE LOGITS
     ff
    0.99
     âĨij
    0.95
     DOI
    0.90
    ff
    0.83
     NRS
    0.81
     quoting
    0.80
     seq
    0.79
     doi
    0.79
     NK
    0.78
    NK
    0.77
    Activations Density 0.089%

    No Known Activations