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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. 9-RES-JB
    11. 20223
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    INDEX
    Explanations

    phrases related to playing in various events or leagues

    oai_token-act-pair · gpt-3.5-turbo

    references to specific games or seasons, particularly in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reason
    -0.85
    Continue
    -0.72
    hai
    -0.65
    redo
    -0.64
    undo
    -0.63
    casters
    -0.63
    worth
    -0.62
    WORK
    -0.62
    STER
    -0.61
    ULE
    -0.61
    POSITIVE LOGITS
     unison
    1.17
     vain
    1.10
     accordance
    1.04
     conjunction
    1.02
     lieu
    1.01
     tandem
    0.99
    clusively
    0.96
    clus
    0.95
    authent
    0.94
    animate
    0.89
    Activations Density 0.190%

    No Known Activations