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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. 16093
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    Explanations

    the mention of free agents in sports-related contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports agents and player contracts

    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
    anus
    -0.90
    erd
    -0.78
    acan
    -0.76
    alis
    -0.74
     ancest
    -0.70
    cro
    -0.70
    borough
    -0.69
    san
    -0.69
    raltar
    -0.69
    ARDIS
    -0.69
    POSITIVE LOGITS
     signings
    1.36
     signing
    1.14
    Agent
    0.91
     waivers
    0.89
     pickups
    0.86
     acquisitions
    0.86
     outfielder
    0.84
     tracker
    0.79
     bargaining
    0.78
     offseason
    0.78
    Activations Density 0.035%

    No Known Activations