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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. 8-RES-JB
    11. 10445
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    Explanations

    mentions of civilian involvement or impact in a given context, often focusing on civilian casualties

    oai_token-act-pair · gpt-3.5-turbo

    terms related to civilian impact in conflict situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    href
    -0.95
    ologies
    -0.84
    itudinal
    -0.77
    rams
    -0.77
    ology
    -0.77
    ologically
    -0.76
    Club
    -0.74
    gerald
    -0.73
    encing
    -0.71
    TOP
    -0.70
    POSITIVE LOGITS
     casualties
    0.97
     casualty
    0.92
     airliner
    0.82
     bystanders
    0.81
     bystand
    0.75
    ufact
    0.75
     contractor
    0.74
     laborers
    0.73
     contractors
    0.73
     zones
    0.72
    Activations Density 0.035%

    No Known Activations