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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. 23240
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    Explanations

    educational course-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to academic courses

    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
    Not in Any Lists

    No Comments

    Negative Logits
    alty
    -0.73
    ously
    -0.63
     Hots
    -0.61
    gie
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    ï¸ı
    -0.59
     stake
    -0.57
    Mini
    -0.57
    mented
    -0.57
     spat
    -0.56
    uggets
    -0.56
    POSITIVE LOGITS
    work
    1.12
    ourses
    0.95
    course
    0.94
    holder
    0.91
    washer
    0.90
     syll
    0.88
     instructors
    0.87
    books
    0.83
     vit
    0.83
     instructor
    0.81
    Activations Density 0.031%

    No Known Activations