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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. 4-RES-JB
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    Explanations

    references to college sports, specifically related to the Big Ten conference

    oai_token-act-pair · gpt-3.5-turbo

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

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

    No Comments

    Negative Logits
     compr
    -0.74
    ¿½
    -0.72
    cedented
    -0.71
     MH
    -0.70
     recip
    -0.70
    ãĤ¨ãĥ«
    -0.69
    etsk
    -0.67
    ku
    -0.66
    zl
    -0.66
    akin
    -0.65
    POSITIVE LOGITS
     Conference
    1.06
     Tournament
    1.06
     Championships
    0.94
     Championship
    0.93
     Playoff
    0.89
     standings
    0.87
     Region
    0.79
     Finals
    0.78
     Showdown
    0.77
     Rankings
    0.77
    Activations Density 0.039%

    No Known Activations