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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. 6-RES-JB
    6. 11921
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    Explanations

    weather forecasts with specific temperature and conditions related phrases

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onga
    -0.98
     tremend
    -0.90
     mosqu
    -0.89
     oun
    -0.83
     glim
    -0.81
     volunte
    -0.78
     neighb
    -0.77
     entreprene
    -0.76
     rall
    -0.76
     manif
    -0.75
    POSITIVE LOGITS
     Retrieved
    1.25
     Includes
    1.20
     Also
    1.19
     See
    1.10
    txt
    1.08
     Allows
    1.03
    aspx
    1.03
    htm
    1.02
     Additionally
    1.02
     However
    1.02
    Activations Density 0.490%

    No Known Activations