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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. 11-RES-JB
    11. 5753
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    Explanations

    phrases related to offering, discussing, trading, and needing in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to player acquisitions and team needs in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shutterstock
    -0.73
    aneous
    -0.71
    arta
    -0.71
    Consumer
    -0.70
    aclysm
    -0.69
    anguages
    -0.69
    Federal
    -0.67
    useum
    -0.67
    externalActionCode
    -0.67
    nai
    -0.67
    POSITIVE LOGITS
     him
    1.30
     someone
    1.07
     somebody
    1.06
     Jamal
    1.01
     whoever
    0.99
     Jarrett
    0.98
     Melvin
    0.96
     Giov
    0.96
     Derrick
    0.94
     Brandon
    0.94
    Activations Density 0.362%

    No Known Activations