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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. 8-RES-JB
    11. 23847
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    Explanations

    references to studies, analyses, reports, and estimates

    oai_token-act-pair · gpt-3.5-turbo

    references to analyses, studies, and reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.76
    artifacts
    -0.68
     brakes
    -0.66
    ses
    -0.65
     reacts
    -0.61
    brids
    -0.61
    iates
    -0.60
    eeds
    -0.60
    Mods
    -0.59
     loves
    -0.58
    POSITIVE LOGITS
     overseen
    0.92
     titled
    0.80
     published
    0.77
     commissioned
    0.72
    alist
    0.70
     undertaken
    0.69
     spanning
    0.69
     reviewed
    0.69
     obtained
    0.68
     Slate
    0.68
    Activations Density 0.232%

    No Known Activations