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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. 4-RES-JB
    11. 13162
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    Explanations

    references to conflicts, especially those involving governmental bodies or humanitarian crises

    oai_token-act-pair · gpt-3.5-turbo

    references to conflict and war, particularly in the context of international law violations

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

    No Comments

    Negative Logits
     println
    -0.81
     patents
    -0.77
    Wallet
    -0.75
    Shares
    -0.75
    å°Ĩ
    -0.72
     virtues
    -0.71
     Transactions
    -0.70
    Chance
    -0.70
    Magikarp
    -0.69
     resemb
    -0.68
    POSITIVE LOGITS
     ravaged
    1.07
    fighting
    0.98
     refugee
    0.94
     Albania
    0.85
    ouk
    0.84
     overrun
    0.83
     refugees
    0.83
     Syrian
    0.83
     Bosnia
    0.82
     devastated
    0.81
    Activations Density 0.103%

    No Known Activations