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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. 23038
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    Explanations

    references to specific soccer teams and matches

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 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
    -0.98
    NetMessage
    -0.94
    oys
    -0.84
    iannopoulos
    -0.84
     convol
    -0.82
    gling
    -0.79
    abbage
    -0.79
    ously
    -0.77
    ORPG
    -0.76
    Downloadha
    -0.75
    POSITIVE LOGITS
     FC
    1.11
     Timbers
    1.08
     Soccer
    1.01
     goalkeeper
    1.00
     midfielder
    0.96
     striker
    0.90
     soccer
    0.87
     MLS
    0.87
     Sounders
    0.84
     Goal
    0.82
    Activations Density 0.064%

    No Known Activations