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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. 23809
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    Explanations

    references to sports teams, specifically the Seattle Sounders and other related teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific soccer teams and their matchups

    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
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.87
    oys
    -0.84
    iannopoulos
    -0.82
    NetMessage
    -0.82
    ously
    -0.79
     convol
    -0.78
    Ü
    -0.75
    Downloadha
    -0.75
    sed
    -0.75
    abbage
    -0.75
    POSITIVE LOGITS
     Timbers
    1.08
     FC
    1.00
     Soccer
    0.94
     midfielder
    0.91
     MLS
    0.90
     goalkeeper
    0.90
     Hots
    0.87
     soccer
    0.87
    soc
    0.81
     Sounders
    0.81
    Activations Density 0.064%

    No Known Activations