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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. 22093
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    Explanations

    references to software or hardware development kits

    oai_token-act-pair · gpt-3.5-turbo

    references to software development kits

    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
    ibly
    -0.78
     Marketable
    -0.67
    ously
    -0.66
    åŃIJ
    -0.65
    nesota
    -0.65
    ãģį
    -0.65
    acebook
    -0.64
    äº
    -0.61
    ews
    -0.60
    ï¸ı
    -0.60
    POSITIVE LOGITS
    chens
    1.64
    kat
    1.26
    chen
    1.26
    Kat
    1.03
    ches
    1.00
    chn
    0.97
    kit
    0.97
    chy
    0.96
    bash
    0.90
    chell
    0.87
    Activations Density 0.040%

    No Known Activations