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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. 6460
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    announcements related to sports team changes or transactions

    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
    EStreamFrame
    -0.84
    eln
    -0.83
    opian
    -0.78
    Downloadha
    -0.76
    EStream
    -0.76
    quickShipAvailable
    -0.75
    soType
    -0.75
    trop
    -0.74
     democracies
    -0.74
    thodox
    -0.71
    POSITIVE LOGITS
     veteran
    1.22
     Reggie
    1.21
     coach
    1.19
     Kevin
    1.18
     Coach
    1.17
     Jason
    1.16
     rookie
    1.14
     superstar
    1.14
     Mike
    1.14
     Derrick
    1.14
    Activations Density 0.373%

    No Known Activations