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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. 7-RES-JB
    11. 21569
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    Explanations

    references to sports leagues and conferences, particularly focusing on the Big Ten

    oai_token-act-pair · gpt-3.5-turbo

    references to college sports conferences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akin
    -0.75
    Downloadha
    -0.74
    pots
    -0.72
     Peng
    -0.70
     Corbyn
    -0.69
    etheless
    -0.69
     Satoshi
    -0.68
     HK
    -0.68
    ouf
    -0.68
     MH
    -0.67
    POSITIVE LOGITS
     Conference
    1.06
     Championships
    0.94
     Networks
    0.88
     Championship
    0.84
     Network
    0.84
     Tournament
    0.84
    NBA
    0.82
     Finals
    0.79
     Cities
    0.78
     Rankings
    0.78
    Activations Density 0.050%

    No Known Activations