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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. 0-RES-JB
    11. 14672
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    Explanations

    references to the sports team "Reds"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Cincinnati Reds and Boko Haram

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    communication
    -0.83
     discontin
    -0.69
    egu
    -0.64
    ·
    -0.62
    ova
    -0.61
    âĪ
    -0.61
     visitation
    -0.60
    án
    -0.60
    mob
    -0.59
     [+
    -0.59
    POSITIVE LOGITS
     Reds
    3.49
     Bengals
    1.23
     Tigers
    1.22
     Yankees
    1.21
     Jays
    1.20
     Rebels
    1.18
     Royals
    1.17
     Redskins
    1.16
     Blues
    1.16
     Tide
    1.11
    Activations Density 0.017%

    No Known Activations