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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. 19513
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    Explanations

    events or occasions that are scheduled to take place

    oai_token-act-pair · gpt-3.5-turbo

    events that are scheduled to take place

    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
    otomy
    -0.69
     Leilan
    -0.69
    isner
    -0.68
    Db
    -0.67
    ļéĨĴ
    -0.67
     equations
    -0.64
     puzzles
    -0.64
     Translation
    -0.62
    Analysis
    -0.59
     REPL
    -0.59
    POSITIVE LOGITS
     noon
    0.90
     attendees
    0.89
     July
    0.88
     Thurs
    0.88
     April
    0.87
     organizers
    0.85
     June
    0.84
     downtown
    0.84
     tomorrow
    0.83
     Saturdays
    0.82
    Activations Density 0.298%

    No Known Activations