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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. 3-RES-JB
    6. 10542
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    INDEX
    Explanations

    phrases related to provocation or providing evidence

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of provocation or provocation-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rite
    -0.71
    Pie
    -0.70
     Eclipse
    -0.68
    mare
    -0.65
     Lobby
    -0.64
    geist
    -0.64
    Lay
    -0.62
    morph
    -0.62
     Masters
    -0.61
     Scotch
    -0.61
    POSITIVE LOGITS
     prov
    1.13
    idence
    1.06
    idently
    1.04
    idential
    1.01
    uitous
    1.01
    idences
    1.01
    ably
    0.92
    isec
    0.88
    irus
    0.86
    iso
    0.86
    Activations Density 0.006%

    No Known Activations