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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. 10-RES-JB
    11. 10752
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    INDEX
    Explanations

    sports-related events and achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to significant sports achievements and competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rei
    -0.72
    ................................................................
    -0.70
    kinson
    -0.67
    hiba
    -0.67
     compan
    -0.67
    compan
    -0.67
    tsy
    -0.66
    rish
    -0.66
     stunts
    -0.65
     pus
    -0.63
    POSITIVE LOGITS
     playoffs
    1.60
     playoff
    1.49
     Playoffs
    1.41
     postseason
    1.39
     Playoff
    1.27
     finals
    1.23
     semifinals
    1.12
     relegation
    1.12
     Finals
    1.10
     championship
    1.04
    Activations Density 0.251%

    No Known Activations