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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. 6-RES-JB
    11. 9868
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    Explanations

    phrases indicating a significant amount or intensity of something

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities and amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Advertisement
    -0.66
    xit
    -0.65
    ensis
    -0.64
     bidder
    -0.62
    uly
    -0.60
    ħĭ
    -0.60
    vised
    -0.59
    911
    -0.59
    ucky
    -0.59
    CHAT
    -0.59
    POSITIVE LOGITS
    ðŁij
    0.73
     dudes
    0.70
     stuff
    0.70
     besides
    0.70
    itivity
    0.67
     misses
    0.65
     crammed
    0.64
    accompan
    0.61
    processing
    0.61
     nowadays
    0.61
    Activations Density 0.411%

    No Known Activations