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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. 24221
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    Explanations

    phrases related to endurance or tolerance

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the term "put up" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    terday
    -0.70
    igue
    -0.68
    GEN
    -0.66
    =]
    -0.66
    ipel
    -0.64
    _-
    -0.64
     Sample
    -0.62
    CI
    -0.61
    ellect
    -0.60
    vernight
    -0.60
    POSITIVE LOGITS
     posters
    0.90
     billboards
    0.78
     barriers
    0.76
     flyers
    0.75
     fences
    0.72
    ris
    0.71
     tents
    0.71
     banners
    0.71
     obstacles
    0.70
     roofs
    0.68
    Activations Density 0.071%

    No Known Activations