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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. 4917
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    Explanations

    text related to sports events and news

    oai_token-act-pair · gpt-3.5-turbo

    mentions of media outlets or references to images in articles

    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
    ttle
    -0.73
    arantine
    -0.70
    sic
    -0.64
    etime
    -0.60
     quarantine
    -0.60
    regate
    -0.59
    iversary
    -0.59
    weed
    -0.58
     stalk
    -0.57
    pillar
    -0.56
    POSITIVE LOGITS
     Gleaming
    0.80
    ccording
    0.76
     largeDownload
    0.71
     millenn
    0.70
    NOR
    0.69
    Morning
    0.69
    士
    0.68
     plains
    0.67
    Emb
    0.66
    Jer
    0.65
    Activations Density 0.105%

    No Known Activations