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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. 6-RES-JB
    11. 24539
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    Explanations

    dates and times mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    specific date and time formats, including timestamps and update information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gat
    -0.72
     unsur
    -0.63
    anthrop
    -0.63
    vag
    -0.63
    urated
    -0.59
     psychedel
    -0.57
     unjust
    -0.56
    gro
    -0.56
     hect
    -0.56
    bench
    -0.54
    POSITIVE LOGITS
    æĸ¹
    0.78
    odi
    0.67
     guiActiveUnfocused
    0.63
    ender
    0.63
    isted
    0.61
     Lighting
    0.60
    alties
    0.59
    aily
    0.58
     HOU
    0.57
    Reviewer
    0.57
    Activations Density 0.195%

    No Known Activations