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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. 7-RES-JB
    11. 19284
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    Explanations

    references to sports players and their statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to sports statistics and player performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scept
    -0.76
     authorised
    -0.76
     Whilst
    -0.75
     whilst
    -0.75
     organising
    -0.74
     util
    -0.73
     recognise
    -0.73
     organisers
    -0.72
     petrol
    -0.71
     Colour
    -0.71
    POSITIVE LOGITS
     offseason
    1.29
     quarterback
    1.23
    NFL
    1.23
     rookie
    1.21
     linebacker
    1.20
     quarterbacks
    1.16
     playoff
    1.16
     Heisman
    1.16
     rookies
    1.15
     linebackers
    1.15
    Activations Density 1.655%

    No Known Activations