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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 1468
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    Explanations

    dates and events in the format Month Day, Year

    oai_token-act-pair · gpt-3.5-turbo

    statements or phrases related to confirmations of events or facts

    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
    Enlarge
    -0.64
    fts
    -0.63
     cram
    -0.62
     manuals
    -0.62
     scram
    -0.62
     jams
    -0.61
     cleaners
    -0.61
    hello
    -0.61
     basics
    -0.59
     bends
    -0.58
    POSITIVE LOGITS
     subsequently
    1.12
    sequently
    1.07
    Additionally
    1.00
    shown
    0.92
     subsequent
    0.92
    then
    0.91
     additionally
    0.89
     Additionally
    0.88
     Afterwards
    0.87
     then
    0.83
    Activations Density 1.031%

    No Known Activations