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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. 6-RES-JB
    11. 20559
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    Explanations

    references to specific sports conferences

    oai_token-act-pair · gpt-3.5-turbo

    references to college sports conferences, particularly the Big 12 and Big Ten

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    etheless
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    cedented
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    behind
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     Antar
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    ocre
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     challeng
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    apore
    -0.63
    vertisement
    -0.63
    nu
    -0.62
     Naw
    -0.62
    POSITIVE LOGITS
    ®
    0.85
    Enlarge
    0.77
    ®,
    0.70
    âĦ¢
    0.68
    utra
    0.67
    âĦ¢:
    0.66
    naires
    0.65
    EGA
    0.63
    ONSORED
    0.63
    Publisher
    0.62
    Activations Density 0.138%

    No Known Activations