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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
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    statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to sports performance

    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
     Wag
    -0.65
     Rupert
    -0.65
     Tob
    -0.64
    avascript
    -0.63
     modelling
    -0.62
     Tab
    -0.61
     Mayer
    -0.61
     ageing
    -0.60
    erey
    -0.58
    Lago
    -0.57
    POSITIVE LOGITS
    ½
    1.04
    QB
    0.88
    nd
    0.86
    rd
    0.85
    ND
    0.83
    PT
    0.79
     ½
    0.78
    peat
    0.75
    PO
    0.74
    bp
    0.73
    Activations Density 0.105%

    No Known Activations