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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. 3604
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    Explanations

    dates and scheduling information

    oai_token-act-pair · gpt-3.5-turbo

    references to scheduled events and their cancellations or changes

    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
     Penet
    -0.83
     penet
    -0.79
    ecd
    -0.74
     penetration
    -0.73
    ĸļ
    -0.72
     Attributes
    -0.71
     testim
    -0.69
     ooz
    -0.68
    oir
    -0.68
    ophile
    -0.67
    POSITIVE LOGITS
     postponed
    1.74
     postp
    1.71
     scheduling
    1.65
     cancellation
    1.53
     canceled
    1.46
     schedule
    1.46
     cancelled
    1.44
     postpone
    1.39
     cancell
    1.37
     scheduled
    1.33
    Activations Density 0.717%

    No Known Activations