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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. 5051
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    Explanations

    any instances of the word "scope."

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "scope" in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ublic
    -0.69
    Beat
    -0.65
     Frankenstein
    -0.63
     Zimmer
    -0.62
    ocard
    -0.61
     Fever
    -0.61
    é¾įå
    -0.61
     Bath
    -0.61
    tons
    -0.61
    Fight
    -0.61
    POSITIVE LOGITS
     scope
    1.04
    izons
    0.91
     Scope
    0.85
     creep
    0.81
    ifi
    0.78
     magnification
    0.78
     allowable
    0.76
    illary
    0.76
     radius
    0.74
     bounds
    0.73
    Activations Density 0.038%

    No Known Activations