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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. 12-RES-JB
    11. 4372
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    Explanations

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    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to viewing or accessing content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    wrong
    -0.66
    urs
    -0.66
    void
    -0.65
    Whoever
    -0.64
    phant
    -0.63
    ajor
    -0.63
    odka
    -0.61
    isma
    -0.61
    ophobia
    -0.59
    offensive
    -0.59
    POSITIVE LOGITS
     more
    0.93
     detailed
    0.92
     fuller
    0.89
     full
    0.88
     screenshots
    0.82
    eeper
    0.81
     our
    0.80
     PDF
    0.79
     details
    0.79
     excerpts
    0.78
    Activations Density 0.134%

    No Known Activations