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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. 23316
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    Explanations

    the word "FIFA" with various numerical values, focusing on this term

    oai_token-act-pair · gpt-3.5-turbo

    mentions of FIFA and its related organizational context

    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
     Rider
    -0.72
    ivan
    -0.71
    Lear
    -0.68
    andering
    -0.67
     Pyr
    -0.67
    ander
    -0.66
    enment
    -0.66
     Daniels
    -0.66
    upt
    -0.65
    shapeshifter
    -0.63
    POSITIVE LOGITS
     FIFA
    1.17
     Fifa
    0.97
     soccer
    0.81
     Soccer
    0.76
     Tournament
    0.75
     SPORTS
    0.75
     volleyball
    0.75
     stadiums
    0.73
    ZI
    0.73
    querque
    0.72
    Activations Density 0.007%

    No Known Activations