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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. 1-RES-JB
    11. 8548
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    Explanations

    mentions of a specific trophy or competition

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific competition or trophy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    SPONSORED
    -0.88
    terday
    -0.75
     obser
    -0.70
    IGHTS
    -0.67
    paio
    -0.65
    ãĤ°
    -0.64
     GI
    -0.61
     clicks
    -0.61
    izabeth
    -0.61
    guyen
    -0.60
    POSITIVE LOGITS
    cakes
    1.29
     Cup
    1.16
     Cups
    1.14
    cake
    1.09
    cup
    1.01
     Playoff
    0.84
     Playoffs
    0.80
     Winners
    0.76
     Clicker
    0.75
    boards
    0.74
    Activations Density 0.009%

    No Known Activations