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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. 10-RES-JB
    11. 11597
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    Explanations

    the word "mint"(s) in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to mint and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ake
    -0.74
    HUD
    -0.62
     IPM
    -0.60
     voc
    -0.60
     Airbnb
    -0.59
     behav
    -0.59
     extrap
    -0.58
     extradition
    -0.57
     Dropbox
    -0.57
     Dele
    -0.56
    POSITIVE LOGITS
     Seym
    1.40
    stones
    0.91
    erity
    0.88
    ed
    0.82
    uries
    0.82
    ing
    0.82
    ulously
    0.81
    eer
    0.80
    mint
    0.80
    marks
    0.79
    Activations Density 0.027%

    No Known Activations