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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 8794
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    INDEX
    Explanations

    information related to soccer clubs and players' contracts

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific sports club

    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
    Accessory
    -0.82
    haar
    -0.77
     PLA
    -0.72
    PROV
    -0.70
     Everywhere
    -0.69
    PLA
    -0.68
    Large
    -0.68
     Pik
    -0.63
     Large
    -0.63
    Els
    -0.62
    POSITIVE LOGITS
     mates
    0.98
    mates
    0.98
     club
    0.94
     clubs
    0.94
    bing
    0.88
    bish
    0.86
    houses
    0.86
    bers
    0.82
    bable
    0.81
     Club
    0.79
    Activations Density 0.014%

    No Known Activations