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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
    11. 4016
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    Explanations

    phrases related to war casualties or incidents resulting in harm or damage

    oai_token-act-pair · gpt-3.5-turbo

    terms related to casualties and fatalities in various contexts

    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
    por
    -0.83
    ramid
    -0.73
    perm
    -0.70
    chrome
    -0.65
    erson
    -0.63
    odes
    -0.62
    itudinal
    -0.62
    cer
    -0.61
    Leaks
    -0.61
     Collider
    -0.60
    POSITIVE LOGITS
     casualties
    1.28
     inflicted
    1.01
     casualty
    0.92
     bystanders
    0.89
     incurred
    0.85
     fatalities
    0.85
     civilians
    0.78
     suffered
    0.78
    oided
    0.77
     Victims
    0.77
    Activations Density 0.013%

    No Known Activations