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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. 9-RES-JB
    11. 14104
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    Explanations

    technical terms related to weaponry and military equipment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to weaponry and military technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     describ
    -0.96
     increasingly
    -0.95
     belie
    -0.94
     waging
    -0.93
     pse
    -0.92
     confir
    -0.91
     tackling
    -0.90
     responding
    -0.90
     addressing
    -0.89
     priorities
    -0.88
    POSITIVE LOGITS
    Dual
    1.52
    Double
    1.47
    Mini
    1.45
    Premium
    1.41
    Tri
    1.39
    Ultra
    1.39
    Total
    1.37
    Jew
    1.37
    Heavy
    1.37
    Dark
    1.35
    Activations Density 0.266%

    No Known Activations