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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 15022
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    INDEX
    Explanations

    names and personal details in texts

    oai_token-act-pair · gpt-3.5-turbo

    connections between names and personal information

    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
    Not in Any Lists

    No Comments

    Negative Logits
    worms
    -0.85
    iculture
    -0.75
    rats
    -0.73
    Increases
    -0.71
    drm
    -0.70
    nw
    -0.69
    itized
    -0.69
    hawks
    -0.68
    ranged
    -0.67
    bub
    -0.66
    POSITIVE LOGITS
     surname
    1.30
     nationality
    1.26
     initials
    1.20
     likeness
    1.19
     password
    1.16
     pronouns
    1.09
     address
    1.08
    password
    1.07
     suffix
    1.05
     badge
    1.02
    Activations Density 0.185%

    No Known Activations