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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. 8-RES-JB
    11. 10427
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    Explanations

    references to sports playoffs

    oai_token-act-pair · gpt-3.5-turbo

    terms specifically related to playoff situations in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erie
    -0.87
    iple
    -0.85
    eton
    -0.81
    station
    -0.81
    auga
    -0.78
    eworld
    -0.77
    gow
    -0.75
    itudinal
    -0.75
    nen
    -0.75
    lder
    -0.74
    POSITIVE LOGITS
     playoffs
    0.97
     MVP
    0.94
     drought
    0.87
     semifinals
    0.87
     berth
    0.86
     playoff
    0.86
     contender
    0.83
     contenders
    0.81
     qualifiers
    0.80
     postseason
    0.80
    Activations Density 0.041%

    No Known Activations