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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. 7-RES-JB
    11. 19424
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    Explanations

    keywords related to drafting documents or writing drafts

    oai_token-act-pair · gpt-3.5-turbo

    references to draft documents or proposals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     destro
    -0.91
     fortun
    -0.73
    hips
    -0.73
    cles
    -0.72
     charism
    -0.71
    Sea
    -0.68
    rogens
    -0.68
    aunder
    -0.66
    pert
    -0.66
    cipl
    -0.66
    POSITIVE LOGITS
    smanship
    1.68
    Kings
    1.06
     dod
    0.86
    lings
    0.80
     drafts
    0.77
     draft
    0.75
     muster
    0.71
     dra
    0.68
    eming
    0.64
     dodging
    0.63
    Activations Density 0.016%

    No Known Activations