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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. 5252
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    Explanations

    words related to medical facilities or procedures

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and numbers, particularly related to events or entities

    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
    OVER
    -0.70
     fixation
    -0.65
    STATE
    -0.64
     showc
    -0.64
     VID
    -0.64
     administrator
    -0.62
     Amit
    -0.62
    FILE
    -0.61
     magnification
    -0.61
    WIND
    -0.61
    POSITIVE LOGITS
    mber
    0.98
    agne
    0.97
    xual
    0.94
    ilities
    0.93
    ulhu
    0.92
    terday
    0.92
    ument
    0.91
    tery
    0.90
    ursday
    0.86
    unin
    0.86
    Activations Density 0.024%

    No Known Activations