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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. 2-RES-JB
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    Explanations

    references to the Marine Corps and related topics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Marines" or related references to military personnel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    title
    -0.82
    BOOK
    -0.75
    à
    -0.72
    where
    -0.69
    bed
    -0.68
    çīĪ
    -0.68
    Asset
    -0.68
    irgin
    -0.67
    bet
    -0.67
    venue
    -0.66
    POSITIVE LOGITS
     marines
    1.05
     Marines
    1.05
    warm
    1.00
     detachment
    0.92
     Corps
    0.90
     barracks
    0.88
    aurus
    0.87
     colonel
    0.79
     infantry
    0.77
     stationed
    0.77
    Activations Density 0.004%

    No Known Activations