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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
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    Explanations

    technical terms related to military equipment and technology development

    oai_token-act-pair · gpt-3.5-turbo

    terms related to military and aerospace development projects

    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
     Eater
    -0.89
     Stranger
    -0.85
    Torrent
    -0.72
     Sandra
    -0.68
     Wasserman
    -0.68
     voic
    -0.67
     Torrent
    -0.66
     Electoral
    -0.66
     Ashe
    -0.66
     Corruption
    -0.66
    POSITIVE LOGITS
     feasibility
    1.06
    utonium
    0.97
     readiness
    0.95
    prototype
    0.94
     engineering
    0.93
     procurement
    0.91
     modernization
    0.90
     reactor
    0.89
     reactors
    0.89
     engineers
    0.89
    Activations Density 0.269%

    No Known Activations