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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. 6267
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific names or terms associated with characters or elements in a narrative or context

    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
    ___
    -0.68
     christ
    -0.62
    dinand
    -0.62
     toget
    -0.61
     mos
    -0.61
     iod
    -0.59
     salsa
    -0.59
     fries
    -0.58
    ãģ¦
    -0.57
    bleacher
    -0.57
    POSITIVE LOGITS
    Blade
    1.95
    ihar
    1.95
    lik
    1.48
    ihara
    1.45
    yrus
    1.22
    cam
    0.98
     Boone
    0.87
    idian
    0.84
     Haram
    0.81
     precincts
    0.80
    Activations Density 0.034%

    No Known Activations