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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. 5200
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    Explanations

    phrases related to taking action or making plans

    oai_token-act-pair · gpt-3.5-turbo

    actions related to structuring, organizing, or categorizing items or concepts

    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
    terness
    -0.68
    udence
    -0.67
    imei
    -0.65
    edom
    -0.65
    plom
    -0.65
    perty
    -0.64
    xxx
    -0.63
    uden
    -0.62
    idia
    -0.61
    ylon
    -0.61
    POSITIVE LOGITS
    matically
    0.87
    uate
    0.84
     oneself
    0.83
     ourselves
    0.80
    ulate
    0.73
     Flare
    0.71
     Statements
    0.71
    ħ
    0.69
     yourself
    0.67
    Ī
    0.67
    Activations Density 0.261%

    No Known Activations