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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. 9-RES-JB
    11. 8768
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    Explanations

    dates and time-related information

    oai_token-act-pair · gpt-3.5-turbo

    dates and numerical information associated with events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Genie
    -0.78
    aghetti
    -0.62
     conscientious
    -0.61
     streng
    -0.60
     sugg
    -0.60
    ufact
    -0.60
    ensical
    -0.59
     interference
    -0.59
     secretaries
    -0.58
     interven
    -0.57
    POSITIVE LOGITS
    th
    1.56
    rd
    1.13
    TH
    0.99
     2018
    0.97
    ths
    0.96
     2017
    0.95
    teenth
    0.94
     2016
    0.87
     2014
    0.86
     2015
    0.86
    Activations Density 0.092%

    No Known Activations