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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. 3-RES-JB
    11. 2861
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    INDEX
    Explanations

    references to sports match-ups

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports or competitive events

    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
    organic
    -0.81
    metic
    -0.76
    clamation
    -0.74
    aum
    -0.74
    authorized
    -0.73
    regon
    -0.73
    child
    -0.72
    duct
    -0.72
    chlor
    -0.71
    rib
    -0.71
    POSITIVE LOGITS
     matchup
    1.10
     matchups
    1.09
     opponent
    0.86
     Finder
    0.83
     Tonight
    0.82
     opponents
    0.81
     foes
    0.79
     clash
    0.78
     foe
    0.77
    eers
    0.75
    Activations Density 0.010%

    No Known Activations