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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. 12928
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    Explanations

    references to a specific brand, Adobe, and people's names, such as Bailey and Floyd

    oai_token-act-pair · gpt-3.5-turbo

    references to Adobe software and notable individuals associated with it

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    nect
    -0.88
    daq
    -0.85
    erve
    -0.79
    icators
    -0.78
    heast
    -0.78
    icles
    -0.76
    ements
    -0.75
    ties
    -0.73
    Interstitial
    -0.72
    alus
    -0.71
    POSITIVE LOGITS
     Sterling
    0.74
    wl
    0.70
     Engel
    0.68
     Bloom
    0.67
    rers
    0.63
    sylvania
    0.62
    sburg
    0.61
    swer
    0.61
    pedia
    0.60
     Porter
    0.60
    Activations Density 0.105%

    No Known Activations