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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 13441
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    Explanations

    statistics related to assists in different sports

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to assists in sports contexts, particularly hockey

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.88
    yg
    -0.77
    ombat
    -0.68
    fare
    -0.66
    tails
    -0.65
    Lab
    -0.64
    uncture
    -0.64
    stakes
    -0.62
    scope
    -0.62
     Coat
    -0.62
    POSITIVE LOGITS
     assists
    0.90
    assisted
    0.86
     scorer
    0.80
     assist
    0.75
     apiece
    0.74
     Pwr
    0.73
     teammate
    0.73
    imates
    0.71
     Assist
    0.71
     batted
    0.70
    Activations Density 0.016%

    No Known Activations