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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. 24154
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    Explanations

    phrases related to abundance or a large quantity of something

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "of" followed by a variety of contexts and subjects

    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
    acus
    -0.88
    hra
    -0.69
     Quote
    -0.69
    ipeg
    -0.69
    pring
    -0.68
    uctions
    -0.68
    idas
    -0.66
    ibe
    -0.66
    jad
    -0.66
    itans
    -0.65
    POSITIVE LOGITS
     sorts
    1.45
     assorted
    0.93
     goodies
    0.91
     disparate
    0.84
     colorful
    0.79
     interconnected
    0.75
     extras
    0.70
     diverse
    0.68
     stars
    0.65
     doom
    0.65
    Activations Density 0.182%

    No Known Activations