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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. 23704
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    INDEX
    Explanations

    sports-related terms and statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to sports 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
     ®
    -0.72
     whilst
    -0.69
     organised
    -0.68
     recognise
    -0.68
     jew
    -0.68
     scept
    -0.68
     organising
    -0.68
     Whilst
    -0.67
     realise
    -0.67
     organise
    -0.66
    POSITIVE LOGITS
     offseason
    1.41
     preseason
    1.24
     rookie
    1.22
     rookies
    1.21
     coaching
    1.21
    Coach
    1.20
     quarterbacks
    1.17
     quarterback
    1.17
    NFL
    1.13
     locker
    1.13
    Activations Density 1.610%

    No Known Activations