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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. 4-RES-JB
    11. 1008
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    Explanations

    words related to marking or emphasizing important events or information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "marked" in various contexts

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

    No Comments

    Negative Logits
    isance
    -0.73
    rouse
    -0.69
    ilk
    -0.66
    rouch
    -0.66
    ersive
    -0.66
    urus
    -0.66
    hatt
    -0.64
    imates
    -0.64
     immersed
    -0.64
    ettel
    -0.62
    POSITIVE LOGITS
    furt
    0.86
     milestones
    0.79
    manship
    0.77
    mast
    0.74
     marked
    0.74
    ocument
    0.73
     marking
    0.73
     Sta
    0.69
     signs
    0.68
    ename
    0.68
    Activations Density 0.016%

    No Known Activations