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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. 7-RES-JB
    6. 4745
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    INDEX
    Explanations

    descriptions of people and everyday activities

    oai_token-act-pair · gpt-3.5-turbo

    emotional expressions and reactions in conversational contexts

    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
    FB
    -0.78
    Sources
    -0.74
    Fact
    -0.66
     disadvant
    -0.65
    redit
    -0.64
     donating
    -0.64
     donate
    -0.64
     effective
    -0.63
     detriment
    -0.62
    cially
    -0.62
    POSITIVE LOGITS
     glances
    1.10
     sigh
    1.10
     smiled
    1.06
     nodded
    1.06
     nodding
    1.04
     stares
    1.04
     smile
    1.04
     frown
    1.03
     grin
    1.03
     smiles
    1.03
    Activations Density 1.273%

    No Known Activations