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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. 2-RES-JB
    11. 11197
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    Explanations

    references to sports competitions or tournaments

    oai_token-act-pair · gpt-3.5-turbo

    references to various "Cup" competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    SPONSORED
    -0.81
    terday
    -0.80
     obser
    -0.80
    ãĤ°
    -0.73
    paio
    -0.70
    sight
    -0.66
    gone
    -0.63
    izabeth
    -0.63
    iannopoulos
    -0.62
    guyen
    -0.61
    POSITIVE LOGITS
    cakes
    1.19
     Cup
    1.12
    cake
    1.08
     Cups
    1.03
     Playoff
    0.93
     Playoffs
    0.90
    cup
    0.89
     Winners
    0.87
    inia
    0.82
     Finals
    0.79
    Activations Density 0.010%

    No Known Activations