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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. 15660
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    Explanations

    phrases related to directing or sending information

    oai_token-act-pair · gpt-3.5-turbo

    references to direct communication or messages

    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
     cautiously
    -0.75
    etheless
    -0.70
    manship
    -0.65
    uly
    -0.65
    assi
    -0.63
    ply
    -0.62
     brightest
    -0.61
    ĻĤ
    -0.61
     pse
    -0.61
     strategically
    -0.61
    POSITIVE LOGITS
    SpaceEngineers
    0.73
    achable
    0.71
    govtrack
    0.68
    hyde
    0.68
    UGC
    0.64
    ulkan
    0.63
    ADA
    0.63
    ierrez
    0.62
    enegger
    0.62
    arez
    0.62
    Activations Density 0.146%

    No Known Activations