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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. 3-RES-JB
    11. 18546
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    Explanations

    references to specific universities

    oai_token-act-pair · gpt-3.5-turbo

    references to universities and educational institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onyms
    -0.86
    icidal
    -0.78
    imei
    -0.78
    asers
    -0.76
    anchez
    -0.76
    */(
    -0.74
    fters
    -0.72
     envelop
    -0.71
    antha
    -0.69
    sticks
    -0.68
    POSITIVE LOGITS
     Medicine
    0.88
     Faculty
    0.84
     Discipline
    0.79
     Museum
    0.78
     course
    0.78
     Athletic
    0.76
     Ethics
    0.76
     Agriculture
    0.75
     Science
    0.74
     Research
    0.74
    Activations Density 0.134%

    No Known Activations