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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. 3473
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    Explanations

    phrases related to official oaths or promises

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to taking an oath or being sworn into office

    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
    nesota
    -0.81
     guiActiveUnfocused
    -0.68
    SET
    -0.65
     Moroc
    -0.65
    neau
    -0.64
    Gray
    -0.62
    bnb
    -0.62
     GOODMAN
    -0.61
     IMAGES
    -0.61
    Stage
    -0.61
    POSITIVE LOGITS
     oath
    1.34
     sworn
    1.09
     allegiance
    1.06
     swearing
    1.01
     vow
    1.00
     swore
    0.93
     Oath
    0.85
     solemn
    0.84
     vows
    0.83
     vengeance
    0.82
    Activations Density 0.053%

    No Known Activations