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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. 9248
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    Explanations

    dates and numbers formatted in a specific way

    oai_token-act-pair · gpt-3.5-turbo

    dates and associated events

    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
    ãĤ¤ãĥĪ
    -0.73
    doing
    -0.65
    íķ
    -0.64
    ometers
    -0.64
    kept
    -0.63
    ayers
    -0.63
    rays
    -0.63
    models
    -0.62
    units
    -0.62
     Contains
    -0.61
    POSITIVE LOGITS
     deadline
    1.10
     announcement
    1.06
     edition
    1.01
     recess
    0.98
     expiration
    0.98
     encounter
    0.93
     timeframe
    0.92
     commencement
    0.92
     appearance
    0.92
     memo
    0.91
    Activations Density 0.101%

    No Known Activations