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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. 11-RES-JB
    11. 2083
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    Explanations

    names of persons and their professions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eye
    -0.88
    Eye
    -0.71
    inventoryQuantity
    -0.70
    ombies
    -0.68
    aura
    -0.67
    azard
    -0.67
     asses
    -0.65
    assault
    -0.65
    atten
    -0.65
    Alien
    -0.64
    POSITIVE LOGITS
     longtime
    1.04
     spokesman
    1.02
     former
    1.00
     spokesperson
    0.96
     member
    0.94
     spokeswoman
    0.94
     retired
    0.93
     professor
    0.91
     prominent
    0.90
     lawyer
    0.88
    Activations Density 0.120%

    No Known Activations