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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 1427
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    Explanations

    words related to high energy levels and principled behavior

    oai_token-act-pair · gpt-3.5-turbo

    terms related to energy levels and principled behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    redit
    -0.85
    iosis
    -0.78
    oan
    -0.78
    obyl
    -0.77
    forest
    -0.72
    ingu
    -0.72
     Dunham
    -0.72
    VPN
    -0.71
    ocaust
    -0.70
    oil
    -0.68
    POSITIVE LOGITS
     enough
    0.84
     spirited
    0.82
     energetic
    0.81
    nesses
    0.78
    looking
    0.73
     lively
    0.71
    glers
    0.71
    ness
    0.70
     little
    0.69
     adventurer
    0.67
    Activations Density 0.024%

    No Known Activations