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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. 20566
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    Explanations

    dates related to the year 1967

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 1967

    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
    aptic
    -0.89
    icum
    -0.78
    nces
    -0.74
    illing
    -0.74
    unders
    -0.73
    istor
    -0.73
    leneck
    -0.72
    ulum
    -0.71
    ulin
    -0.71
    umen
    -0.71
    POSITIVE LOGITS
    ////////////////
    0.78
    Rus
    0.73
    eteenth
    0.72
     Doodle
    0.66
     Uganda
    0.65
    chwitz
    0.65
     Colt
    0.64
     pes
    0.64
    ãĥĥãĥī
    0.64
     Lennon
    0.64
    Activations Density 0.032%

    No Known Activations