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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. 19721
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    Explanations

    phrases that contain the word "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to actions or situations that are potentially wasteful or inefficient

    oai_token-act-pair · gpt-3.5-turbo
    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
     Leban
    -0.68
    ummer
    -0.63
     Checking
    -0.61
     concluding
    -0.60
    gallery
    -0.58
     Loving
    -0.57
    ointed
    -0.56
     boarding
    -0.56
     Cutter
    -0.56
     Booster
    -0.55
    POSITIVE LOGITS
     otherwise
    1.06
     belongs
    1.00
     might
    0.95
     violates
    0.94
     ordinarily
    0.94
     rightfully
    0.92
     already
    0.90
     previously
    0.90
     ought
    0.89
     belong
    0.88
    Activations Density 0.287%

    No Known Activations