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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 14980
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    Explanations

    references to civilian-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to civilian entities or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ologies
    -0.84
    rams
    -0.84
    LER
    -0.83
    draw
    -0.81
    SHARE
    -0.81
    DAY
    -0.80
    href
    -0.80
    hetti
    -0.79
    STEP
    -0.77
    Torrent
    -0.77
    POSITIVE LOGITS
     casualties
    0.98
     civilian
    0.96
     casualty
    0.93
     airliner
    0.85
     aviation
    0.79
    ization
    0.78
     populace
    0.77
     hostages
    0.76
    izational
    0.73
     bystanders
    0.73
    Activations Density 0.009%

    No Known Activations