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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12418
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    Explanations

    phrases indicating events or actions occurring or continuing up until a specific point

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ongoing situations or conditions until a specified endpoint is reached

    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
     Actions
    -0.70
    groupon
    -0.69
     Holding
    -0.67
     RSS
    -0.67
    oft
    -0.66
     Bind
    -0.62
    gravity
    -0.62
     Categories
    -0.62
     ----------------
    -0.62
     Sense
    -0.61
    POSITIVE LOGITS
     expires
    0.75
     reaches
    0.73
     perfected
    0.72
     ende
    0.69
    isode
    0.69
     settle
    0.69
    emetery
    0.68
     rematch
    0.67
     finally
    0.66
     pup
    0.66
    Activations Density 0.121%

    No Known Activations