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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. 0-RES-JB
    11. 18112
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    Explanations

    words related to scheduling and organization, particularly focusing on calendars

    oai_token-act-pair · gpt-3.5-turbo

    references to calendars and school-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     undet
    -0.70
    lation
    -0.62
    wark
    -0.62
    dden
    -0.61
    addons
    -0.61
    wed
    -0.61
     percentage
    -0.59
     Malone
    -0.59
    ipel
    -0.59
    aton
    -0.58
    POSITIVE LOGITS
     calendars
    2.49
    anges
    1.35
     Schools
    1.34
    ICK
    1.31
    ARA
    1.30
     Fut
    1.15
    endars
    1.03
    tops
    0.89
    EMA
    0.84
    kos
    0.81
    Activations Density 0.031%

    No Known Activations