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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. 10-RES-JB
    11. 12312
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    INDEX
    Explanations

    references to professional athletes and contracts in sports

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with free agents in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anus
    -0.80
     Cosponsors
    -0.79
    erd
    -0.74
    ilar
    -0.72
     Mothers
    -0.68
    alis
    -0.68
    erity
    -0.67
     ancest
    -0.66
    rogen
    -0.65
    rup
    -0.65
    POSITIVE LOGITS
     signings
    1.43
     signing
    1.20
     acquisitions
    1.00
     tracker
    0.98
    Agent
    0.95
     pickups
    0.90
     negotiations
    0.86
     contracts
    0.85
     Tracker
    0.85
     waivers
    0.84
    Activations Density 0.052%

    No Known Activations