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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. 17309
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    Explanations

    academic disciplines or studies programs

    oai_token-act-pair · gpt-3.5-turbo

    references to various academic studies and programs

    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
     Lann
    -0.71
    cakes
    -0.68
     twitch
    -0.65
     defective
    -0.64
    unal
    -0.63
     unregulated
    -0.63
    nea
    -0.62
     raiding
    -0.59
     raided
    -0.59
    itude
    -0.58
    POSITIVE LOGITS
     scholar
    0.99
    chool
    0.93
    uggest
    0.93
     Scholars
    0.91
    krit
    0.82
     scholars
    0.82
     Scholar
    0.80
     Interpret
    0.80
    ilk
    0.79
    uper
    0.79
    Activations Density 0.040%

    No Known Activations