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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. 15605
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    Explanations

    specific references to dates or time periods

    oai_token-act-pair · gpt-3.5-turbo

    references to specific time periods or time-related 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
     Secondly
    -0.72
    upon
    -0.70
     secondly
    -0.69
    later
    -0.67
     thereafter
    -0.64
    icon
    -0.63
    riter
    -0.61
    anity
    -0.60
    ilon
    -0.60
     Originally
    -0.59
    POSITIVE LOGITS
     TED
    0.86
     infographic
    0.75
    Redditor
    0.72
     TODAY
    0.70
     researchers
    0.69
     Doodle
    0.67
     Curiosity
    0.65
     Vanderbilt
    0.61
     researcher
    0.60
     HuffPost
    0.60
    Activations Density 1.404%

    No Known Activations