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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. 12-RES-JB
    11. 2468
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    INDEX
    Explanations

    words related to consumerism such as "shoppers" and "sales"

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    words related to shopping or shoppers

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    puff
    -0.70
     mileage
    -0.65
    hot
    -0.58
    beer
    -0.57
    bur
    -0.57
     foul
    -0.56
     Patel
    -0.55
    mouth
    -0.55
     narrator
    -0.54
     Falls
    -0.54
    POSITIVE LOGITS
    emaker
    1.40
    pper
    1.19
    eb
    1.18
    eln
    1.13
    est
    1.09
    eg
    1.06
    eless
    0.99
    elist
    0.98
    ichi
    0.94
    ep
    0.94
    Activations Density 0.054%

    No Known Activations