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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. 3-RES-JB
    11. 4041
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    Explanations

    descriptions related to soccer matches and events

    oai_token-act-pair · gpt-3.5-turbo

    events or actions related to sports, particularly in soccer or football matches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -1.01
    Anonymous
    -0.94
    enegger
    -0.85
    ographies
    -0.84
     Mormons
    -0.81
     nonprofits
    -0.81
    zos
    -0.79
    onym
    -0.77
    payer
    -0.77
    hovah
    -0.76
    POSITIVE LOGITS
     midfield
    1.14
     stopp
    1.11
     relegation
    1.10
     teammate
    1.08
     unbeaten
    1.08
     striker
    1.07
     decisive
    1.07
     goalkeeper
    1.06
     clash
    1.03
     defence
    1.02
    Activations Density 1.085%

    No Known Activations