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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. 10-RES-JB
    11. 4777
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    Explanations

    scientific and technical terms related to experiments and research

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and certain structural elements in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ouver
    -0.86
     nomine
    -0.84
     magically
    -0.79
     lett
    -0.77
     rul
    -0.73
     tack
    -0.73
     wont
    -0.73
     blow
    -0.72
     worsh
    -0.72
     diplomacy
    -0.72
    POSITIVE LOGITS
     Furthermore
    1.57
     Moreover
    1.52
     Therefore
    1.52
     Nevertheless
    1.45
     However
    1.43
     Accordingly
    1.42
     Specifically
    1.42
     Consequently
    1.40
     Thus
    1.39
     Hence
    1.38
    Activations Density 0.134%

    No Known Activations