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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. 8-RES-JB
    11. 486
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    INDEX
    Explanations

    instances of conflict and war-related language

    oai_token-act-pair · gpt-3.5-turbo

    terms related to conflict and war

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ucl
    -0.71
     scanner
    -0.70
     notation
    -0.69
     Dep
    -0.69
     reuse
    -0.68
    Reading
    -0.68
     representations
    -0.67
     scanners
    -0.67
     Sul
    -0.64
     encoding
    -0.62
    POSITIVE LOGITS
     waged
    1.37
     raged
    1.25
     underway
    1.16
     spearheaded
    1.05
     unfolding
    1.02
     raging
    1.01
     begun
    1.00
     culminated
    1.00
     culmin
    0.99
     lasted
    0.99
    Activations Density 0.535%

    No Known Activations