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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. 5-RES-JB
    6. 2929
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    Explanations

    items or actions related to increasing something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the" and contexts indicating an increase in quantity or risk

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    books
    -0.76
    mong
    -0.74
    craft
    -0.67
    mates
    -0.66
    mate
    -0.65
    SPONSORED
    -0.65
    picked
    -0.64
    berg
    -0.64
     Xuan
    -0.64
    dig
    -0.64
    POSITIVE LOGITS
     burden
    0.95
     likelihood
    0.93
     severity
    0.92
     intensity
    0.91
     competitiveness
    0.91
     amount
    0.89
     incidence
    0.88
     overall
    0.87
     effectiveness
    0.86
     possibility
    0.86
    Activations Density 0.226%

    No Known Activations