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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. 0-RES-JB
    11. 14969
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    Explanations

    mentions of the term "Te" followed by a single character

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Te."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     jump
    -0.63
     zipper
    -0.62
     bon
    -0.61
     animal
    -0.61
     pivot
    -0.60
     bump
    -0.60
     garlic
    -0.60
     monkey
    -0.60
     privacy
    -0.59
     battery
    -0.59
    POSITIVE LOGITS
    Te
    4.02
     Te
    1.94
    te
    1.85
    TE
    1.63
     Teacher
    1.35
     Teachers
    1.27
    Educ
    1.26
    Tu
    1.18
     te
    1.17
     TE
    1.17
    Activations Density 0.010%

    No Known Activations