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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. 11-RES-JB
    11. 11611
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    Explanations

    mentions of military-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to military presence or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gger
    -0.89
    âĶģ
    -0.77
     Booker
    -0.68
    apest
    -0.68
    ck
    -0.66
    ï¸
    -0.66
     Myster
    -0.66
    cker
    -0.65
    20439
    -0.65
    orse
    -0.65
    POSITIVE LOGITS
     dictatorship
    1.05
     fatig
    1.03
     barracks
    1.01
     commanders
    1.00
     personnel
    0.99
     buildup
    0.98
     acad
    0.96
     coup
    0.92
     trib
    0.91
     attaches
    0.91
    Activations Density 0.055%

    No Known Activations