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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. 10-RES-JB
    11. 12519
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    Explanations

    references to military personnel, captivity, and specific related events

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals involved in captivity and abduction situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¦ãĤ¹
    -0.98
     Golf
    -0.78
     brunch
    -0.75
     Dealer
    -0.71
    geist
    -0.71
     brewers
    -0.71
     breweries
    -0.70
    reth
    -0.70
    aic
    -0.69
    ctory
    -0.68
    POSITIVE LOGITS
     detained
    1.61
     kidnapped
    1.51
     abducted
    1.51
     assassinated
    1.43
     imprisoned
    1.37
     murdered
    1.32
     deported
    1.31
     fleeing
    1.30
     jailed
    1.30
     smuggled
    1.28
    Activations Density 0.535%

    No Known Activations