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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. 8052
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    Explanations

    phrases related to activities or tasks that need to be done

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of a specific symbol or character sequence

    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
    etheless
    -0.69
     fixture
    -0.68
    erning
    -0.64
     reception
    -0.60
     eleph
    -0.58
     capsule
    -0.58
    ItemThumbnailImage
    -0.58
     Unic
    -0.58
    imen
    -0.56
     observers
    -0.56
    POSITIVE LOGITS
    ymes
    0.99
    acca
    0.87
    ihad
    0.73
    atical
    0.73
    ghan
    0.72
    eas
    0.70
    abad
    0.70
    erest
    0.69
    ebook
    0.68
    kamp
    0.68
    Activations Density 0.236%

    No Known Activations