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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. 6-RES-JB
    11. 19818
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    Explanations

    references to military-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the military and related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    âĶģ
    -0.88
    20439
    -0.87
    gger
    -0.83
    apest
    -0.78
    luck
    -0.75
    heimer
    -0.73
    flush
    -0.73
    lihood
    -0.72
    nob
    -0.72
    ividual
    -0.70
    POSITIVE LOGITS
     fatig
    1.15
     personnel
    0.97
     contractor
    0.97
     acad
    0.96
     contractors
    0.90
     academy
    0.88
     grade
    0.87
     servic
    0.87
     surplus
    0.86
     jargon
    0.86
    Activations Density 0.029%

    No Known Activations