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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. 4-RES-JB
    6. 22836
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    Explanations

    phrases indicating something or someone can benefit from a particular action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential benefits

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

    No Comments

    Negative Logits
    soDeliveryDate
    -0.83
    channelAvailability
    -0.72
    fing
    -0.69
     Firefly
    -0.69
    IFE
    -0.67
    sf
    -0.66
    Nap
    -0.66
    utical
    -0.65
    earchers
    -0.65
    Jess
    -0.65
    POSITIVE LOGITS
     hindsight
    0.73
     riches
    0.71
    Reward
    0.67
    lihood
    0.67
     cures
    0.65
     taxpayer
    0.63
    aea
    0.62
     exploiting
    0.62
     outweigh
    0.61
    ierrez
    0.61
    Activations Density 0.161%

    No Known Activations