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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. 17463
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    INDEX
    Explanations

    phrases related to sports performance and player development

    oai_token-act-pair · gpt-3.5-turbo

    references to performance and potential in sports activities

    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
     caption
    -0.73
     Straw
    -0.69
     deliberations
    -0.68
     encl
    -0.67
     seats
    -0.66
     Saud
    -0.66
     sponsored
    -0.65
     abst
    -0.64
     embargo
    -0.64
     Spons
    -0.64
    POSITIVE LOGITS
     athlet
    1.07
     offensively
    0.97
     athleticism
    0.92
     Rookie
    0.92
     maturity
    0.92
     veter
    0.91
     underrated
    0.90
    impro
    0.89
    ukong
    0.89
     himself
    0.89
    Activations Density 0.505%

    No Known Activations