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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. 9-RES-JB
    11. 1411
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    Explanations

    words related to computer programming languages and commands

    oai_token-act-pair · gpt-3.5-turbo

    words that are unique or less commonly used in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    icut
    -0.72
    ICAN
    -0.58
     underrated
    -0.58
    tesy
    -0.57
     compliment
    -0.57
    inventoryQuantity
    -0.57
    GREEN
    -0.56
     takeoff
    -0.56
    theless
    -0.55
     isol
    -0.55
    POSITIVE LOGITS
    atism
    0.80
    irts
    0.78
    letal
    0.77
    ificant
    0.74
    cific
    0.74
    izophren
    0.73
    pport
    0.73
    Ó
    0.73
    raper
    0.72
    hire
    0.72
    Activations Density 0.291%

    No Known Activations