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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. 12793
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    INDEX
    Explanations

    phrases related to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams and their standings

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    gotten
    -0.67
    ruary
    -0.65
    ascript
    -0.65
    bent
    -0.64
     Nicarag
    -0.64
    essor
    -0.60
     Lovecraft
    -0.57
     Akin
    -0.57
    Downloadha
    -0.57
     Imper
    -0.57
    POSITIVE LOGITS
    utan
    0.78
    otos
    0.73
    ribune
    0.66
    rophic
    0.66
    Ban
    0.64
    urable
    0.61
    Jr
    0.60
    ut
    0.60
    mitter
    0.59
    angan
    0.59
    Activations Density 0.218%

    No Known Activations