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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. 2175
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    Explanations

    time-related phrases and events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to time frames and upcoming events

    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
    thood
    -0.85
     ç¥ŀ
    -0.79
    glomer
    -0.75
    1999
    -0.72
    1998
    -0.72
    1983
    -0.71
    wikipedia
    -0.71
    2005
    -0.71
    2006
    -0.69
    2010
    -0.69
    POSITIVE LOGITS
     week
    1.57
     weekend
    1.39
     hour
    1.38
     days
    1.36
     hours
    1.36
     afternoon
    1.35
     day
    1.30
     evening
    1.29
     weeks
    1.29
     morning
    1.25
    Activations Density 0.198%

    No Known Activations