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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20590
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    Explanations

    phrases containing the word 'up'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "up."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disson
    -0.71
    ¯¯¯¯
    -0.66
     overwhel
    -0.64
    ³³³³³³³³³³³³³³³³
    -0.64
     cath
    -0.64
     hect
    -0.63
    ¯¯¯¯¯¯¯¯
    -0.63
     mileage
    -0.61
    ________________________
    -0.61
     cac
    -0.61
    POSITIVE LOGITS
    dates
    1.52
    olicy
    1.26
    grades
    1.15
    graded
    1.13
    stairs
    1.12
    dating
    1.11
    edia
    1.07
    etsk
    1.02
    rison
    1.01
    etts
    0.98
    Activations Density 0.024%

    No Known Activations