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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. 9190
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    Explanations

    words related to challenging or questioning authority or established norms

    oai_token-act-pair · gpt-3.5-turbo

    phrases and constructions related to coordination or connection

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Patriots
    -0.66
     Newport
    -0.65
     Cotton
    -0.62
     Yao
    -0.62
     Colts
    -0.61
     Dolphins
    -0.61
     Oaks
    -0.61
     Quinn
    -0.60
     Broncos
    -0.60
    iens
    -0.59
    POSITIVE LOGITS
    rogens
    1.09
    rogen
    1.00
    )=(
    0.74
     educate
    0.73
    ropolitan
    0.69
     humili
    0.69
     eliminate
    0.68
    thur
    0.68
     simplify
    0.67
    rew
    0.67
    Activations Density 0.220%

    No Known Activations