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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. 9-RES-JB
    11. 5332
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    Explanations

    phrases indicating surprising revelations or plot twists

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating revelations or realizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.65
     recre
    -0.63
     Recreation
    -0.58
     Colleg
    -0.56
     Zan
    -0.55
     recreation
    -0.54
    resh
    -0.54
    llah
    -0.53
     Limits
    -0.53
    cussion
    -0.52
    POSITIVE LOGITS
    Thumbnail
    0.74
    coat
    0.72
     sour
    0.70
    terday
    0.68
     ugly
    0.66
     upside
    0.65
    Ī
    0.65
    WT
    0.65
    nen
    0.64
     sideways
    0.64
    Activations Density 0.039%

    No Known Activations