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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
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    Explanations

    mentions of the word "basketball"

    oai_token-act-pair · gpt-3.5-turbo

    references to basketball, particularly in terms of players, games, and related concepts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    UTC
    -0.71
    SPONSORED
    -0.70
    ablishment
    -0.69
     Ples
    -0.68
    utter
    -0.64
    occup
    -0.62
    introdu
    -0.61
     Provision
    -0.61
    alez
    -0.60
    Topic
    -0.60
    POSITIVE LOGITS
     basketball
    1.31
    asketball
    1.21
    basketball
    1.15
     Basketball
    1.02
     volleyball
    1.00
     hockey
    0.95
     hoops
    0.92
    halla
    0.84
     rink
    0.84
    ball
    0.82
    Activations Density 0.006%

    No Known Activations