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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. 3-RES-JB
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    Explanations

    mentions of pardons or pardoning

    oai_token-act-pair · gpt-3.5-turbo

    words related to pardons and amnesty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CON
    -0.69
    wig
    -0.66
     Kaiser
    -0.65
     Pixie
    -0.64
     Cock
    -0.63
    umbers
    -0.62
    Engineers
    -0.61
     Weaver
    -0.60
    CDC
    -0.59
    PUT
    -0.59
    POSITIVE LOGITS
     pard
    1.76
     pardon
    1.38
    20439
    1.00
    thood
    0.94
     amnesty
    0.91
     exoner
    0.88
     forgiveness
    0.86
    alties
    0.85
    oled
    0.82
     freeing
    0.82
    Activations Density 0.008%

    No Known Activations