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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. 6-RES-JB
    6. 5612
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    INDEX
    Explanations

    words related to crowds or group gatherings

    oai_token-act-pair · gpt-3.5-turbo

    references to crowds and crowd-related situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.78
     Deg
    -0.70
     Franch
    -0.64
     Equip
    -0.63
    omic
    -0.62
    vell
    -0.62
    axter
    -0.62
     Sprite
    -0.61
    nesota
    -0.61
    Adv
    -0.61
    POSITIVE LOGITS
    ourced
    1.25
    ourcing
    1.13
    funded
    0.90
    atics
    0.82
    fund
    0.80
    funding
    0.78
    naires
    0.78
     gathers
    0.74
     cheering
    0.74
    source
    0.74
    Activations Density 0.027%

    No Known Activations