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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. 10-RES-JB
    6. 7369
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    Explanations

    phrases indicating specific tasks or actions that are expected or intended to happen

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express obligation or expectation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.77
    fram
    -0.68
    Textures
    -0.67
    Cola
    -0.66
     Nationwide
    -0.64
     è£ıè¦ļéĨĴ
    -0.64
    ãĤ¦ãĤ¹
    -0.64
    DAQ
    -0.63
    raq
    -0.62
    Plus
    -0.61
    POSITIVE LOGITS
     be
    1.03
     arrive
    0.92
     deliver
    0.90
     kill
    0.86
     finish
    0.84
     assassinate
    0.84
     accompany
    0.83
     protect
    0.83
     explode
    0.83
    acea
    0.82
    Activations Density 0.101%

    No Known Activations