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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. 1-RES-JB
    6. 19608
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    Explanations

    descriptive terms related to being minimal

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to minimalism

    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
    swick
    -0.69
    Report
    -0.69
    ************
    -0.69
    å°Ĩ
    -0.69
    ravings
    -0.67
    spr
    -0.66
    hung
    -0.66
    Reviewed
    -0.66
    ------------------------
    -0.65
    Building
    -0.65
    POSITIVE LOGITS
    etheless
    1.17
     minimal
    0.94
     amount
    0.91
    isite
    0.85
    icum
    0.82
     achievable
    0.82
     amounts
    0.82
    ocre
    0.81
    imedia
    0.80
     collateral
    0.79
    Activations Density 0.006%

    No Known Activations