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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. 9-RES-JB
    11. 11166
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    Explanations

    phrases related to sports events, particularly the World Series

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "World Series" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ria
    -0.88
    oir
    -0.81
    esse
    -0.73
    doms
    -0.72
    ess
    -0.70
    yer
    -0.70
    polit
    -0.70
    ment
    -0.70
    scan
    -0.69
    lish
    -0.69
    POSITIVE LOGITS
     Finals
    0.94
     MVP
    0.94
     finale
    0.92
    manship
    0.90
     Playoffs
    0.87
     playoffs
    0.86
     opener
    0.83
     championship
    0.81
     semifinals
    0.78
     playoff
    0.77
    Activations Density 0.022%

    No Known Activations