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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. 6897
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    Explanations

    references to military actions and weaponry

    oai_token-act-pair · gpt-3.5-turbo

    references to weapons and military threats

    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
    appointed
    -0.80
    ogie
    -0.78
     Costume
    -0.77
     Volunte
    -0.77
     Edited
    -0.76
     fmt
    -0.75
    ̶
    -0.74
     Reverend
    -0.71
    otide
    -0.70
     Notting
    -0.68
    POSITIVE LOGITS
     submarines
    1.56
     enemy
    1.47
     aircraft
    1.47
     warships
    1.42
     bombers
    1.40
     airplanes
    1.39
     satellites
    1.38
     airspace
    1.37
     missiles
    1.36
     warheads
    1.35
    Activations Density 0.402%

    No Known Activations