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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. 21384
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    Explanations

    mentions of time-related events or sequences

    oai_token-act-pair · gpt-3.5-turbo

    sequence markers and conjunctions that suggest a narrative flow or timeline

    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
    colored
    -0.98
    {"
    -0.89
    Favorite
    -0.88
    center
    -0.87
    caliber
    -0.85
    CLOSE
    -0.85
    avored
    -0.84
     favoring
    -0.82
    âĨ
    -0.81
    Center
    -0.79
    POSITIVE LOGITS
     campaigners
    1.48
     organisers
    1.45
     Ukip
    1.33
     Downing
    1.30
     neighbours
    1.27
     ITV
    1.24
     MPs
    1.23
     councillor
    1.23
     NHS
    1.22
     solicitor
    1.21
    Activations Density 0.305%

    No Known Activations