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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. 10992
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    INDEX
    Explanations

    words related to sharpening or intensifying something

    oai_token-act-pair · gpt-3.5-turbo

    verbs that suggest a process of change or transformation

    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
    holding
    -0.64
     Sci
    -0.62
     Semin
    -0.62
     STEM
    -0.62
    puting
    -0.60
     Terry
    -0.59
     Nichols
    -0.58
     Quad
    -0.58
     IBM
    -0.57
     thirds
    -0.57
    POSITIVE LOGITS
    ened
    1.18
     guiActiveUn
    1.04
    inki
    0.95
    ening
    0.94
    ãĤ¬
    0.90
    undown
    0.89
    emies
    0.89
    redients
    0.86
    thens
    0.86
    ikuman
    0.86
    Activations Density 0.012%

    No Known Activations