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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. 16486
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    Explanations

    sports-related entities and actions

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams or events

    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
    soType
    -0.93
    Els
    -0.80
    soDeliveryDate
    -0.74
    SpaceEngineers
    -0.71
    20439
    -0.71
    geries
    -0.70
    Lago
    -0.70
    oice
    -0.69
    %%%%
    -0.68
    é¾įå¥ij士
    -0.68
    POSITIVE LOGITS
     overcame
    1.43
     scored
    1.37
     trailed
    1.31
     struggled
    1.25
     regained
    1.25
     rallied
    1.20
     defeated
    1.18
     fielded
    1.18
     battled
    1.18
     stormed
    1.16
    Activations Density 0.209%

    No Known Activations