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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. 3-RES-JB
    11. 20469
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    Explanations

    words related to dealers, especially in contexts related to sales, trade, and distribution

    oai_token-act-pair · gpt-3.5-turbo

    references to dealers, particularly in the context of commerce or trade

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.84
    jiang
    -0.70
    zi
    -0.69
    sup
    -0.68
    ceed
    -0.66
     LAT
    -0.66
    peat
    -0.66
    vironment
    -0.64
    MR
    -0.63
     Humph
    -0.62
    POSITIVE LOGITS
     dealers
    1.03
     dealer
    1.03
    hips
    1.01
     dealership
    0.86
    Deal
    0.78
    killer
    0.76
    deal
    0.75
    leneck
    0.75
    places
    0.74
    wagon
    0.74
    Activations Density 0.016%

    No Known Activations