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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. 1-RES-JB
    11. 22116
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    references to educational classes or courses

    oai_token-act-pair · gpt-3.5-turbo

    references to educational classes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    edia
    -0.76
     stump
    -0.62
    00000
    -0.61
     controversial
    -0.60
    Brexit
    -0.56
     sudden
    -0.55
    ometown
    -0.55
    667
    -0.55
    OV
    -0.55
    reens
    -0.55
    POSITIVE LOGITS
    classes
    1.34
     classes
    1.32
     Classes
    1.19
     instructors
    0.93
    anguage
    0.87
    chwitz
    0.86
     lessons
    0.86
    afety
    0.86
    Class
    0.85
    ifiers
    0.84
    Activations Density 0.009%

    No Known Activations