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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. 313
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    Explanations

    words related to sports teams and their performances

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to sports teams and locations

    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
    enegger
    -0.79
    schild
    -0.76
    ãĥ©
    -0.74
    ertodd
    -0.73
    ãĥ´
    -0.73
     Zup
    -0.72
    onym
    -0.69
    Compan
    -0.68
    hya
    -0.68
    tumblr
    -0.67
    POSITIVE LOGITS
     Athletic
    1.12
     FC
    1.10
     midfielder
    1.01
     Athletics
    0.99
     Wand
    0.98
     Albion
    0.97
     Bulldogs
    0.97
     relegation
    0.96
     Stadium
    0.95
     NEC
    0.94
    Activations Density 0.224%

    No Known Activations