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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. 2-RES-JB
    11. 5238
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    Explanations

    phrases or words related to typical characteristics or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    words that describe typical characteristics or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     naked
    -0.67
     shutter
    -0.67
     ropes
    -0.65
     peanuts
    -0.63
     microphones
    -0.61
     unloaded
    -0.60
     soap
    -0.60
     asbestos
    -0.60
    RAW
    -0.59
     QR
    -0.57
    POSITIVE LOGITS
    lihood
    1.04
    terday
    0.83
    ãĤ©
    0.81
    cellent
    0.73
     Dread
    0.73
    agues
    0.71
    kees
    0.69
    vre
    0.67
     Defin
    0.66
    nesota
    0.64
    Activations Density 0.166%

    No Known Activations