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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. 1-RES-JB
    11. 4986
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    Explanations

    keywords related to sports teams, particularly mentioning the team "Reign"

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Reign" and "Frozen" entities, such as teams or movies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pocket
    -0.75
    esthetic
    -0.75
    apa
    -0.73
    aimon
    -0.71
    cephal
    -0.71
    iliary
    -0.69
    hammad
    -0.67
    thodox
    -0.67
    mental
    -0.66
    ectomy
    -0.66
    POSITIVE LOGITS
     Reign
    1.42
    nant
    0.80
     Tide
    0.72
     ASIC
    0.71
    inal
    0.70
    PIN
    0.70
    uin
    0.69
     Nationals
    0.68
    inning
    0.67
    sum
    0.67
    Activations Density 0.011%

    No Known Activations