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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 18443
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    Explanations

    numbers written with a mix of uppercase and lowercase characters

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities or populations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     behavi
    -0.75
    UCT
    -0.71
    senal
    -0.70
    Oregon
    -0.67
    abus
    -0.64
     disposition
    -0.63
     Dock
    -0.63
    netflix
    -0.62
    ORN
    -0.62
     arrang
    -0.62
    POSITIVE LOGITS
    eteen
    0.96
    een
    0.84
    teen
    0.79
    aneous
    0.78
    angular
    0.73
    ths
    0.71
     consulted
    0.71
     consecutive
    0.68
    ofi
    0.67
     CFR
    0.66
    Activations Density 0.073%

    No Known Activations