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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. 8-RES-JB
    6. 18216
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    Explanations

    quotations marks followed by emotional or assertive statements

    oai_token-act-pair · gpt-3.5-turbo

    quotations or dialogue in the text

    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
    etheless
    -0.92
    eers
    -0.78
    erity
    -0.75
    pec
    -0.74
    inarily
    -0.72
    adem
    -0.71
    Ĥª
    -0.70
    atical
    -0.68
    itionally
    -0.68
    redit
    -0.68
    POSITIVE LOGITS
    said
    1.00
     said
    0.99
     joked
    0.97
     reads
    0.96
     says
    0.92
     exclaimed
    0.89
     tweeted
    0.89
     replied
    0.89
     recalls
    0.85
     remembers
    0.85
    Activations Density 0.095%

    No Known Activations