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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. 8-RES-JB
    11. 2391
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    Explanations

    references to written articles or publications

    oai_token-act-pair · gpt-3.5-turbo

    references to articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    cffff
    -0.84
    cffffcc
    -0.79
    NetMessage
    -0.71
    ²¾
    -0.70
     Nadu
    -0.68
    pter
    -0.66
    elsius
    -0.63
    ples
    -0.63
    ey
    -0.63
    ersen
    -0.62
    POSITIVE LOGITS
    meal
    1.11
     titled
    0.86
     published
    0.85
     articles
    0.83
     detailing
    0.80
     article
    0.78
     describing
    0.74
    osphere
    0.74
    orial
    0.74
    iversary
    0.73
    Activations Density 0.029%

    No Known Activations