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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. 11-RES-JB
    6. 19887
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    Explanations

    references or citations within a text

    oai_token-act-pair · gpt-3.5-turbo

    references and citations in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÃŃs
    -0.67
    SpaceEngineers
    -0.62
    igr
    -0.62
     fuss
    -0.62
    ãĥª
    -0.61
    aneously
    -0.60
    though
    -0.58
     faces
    -0.58
    although
    -0.58
    iour
    -0.57
    POSITIVE LOGITS
    ource
    1.11
     Include
    1.08
    ":[{"
    1.01
    ":["
    1.00
    heet
    1.00
     Supported
    0.98
     Used
    0.97
     Included
    0.96
     Available
    0.95
     Categories
    0.92
    Activations Density 0.173%

    No Known Activations