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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. 1-RES-JB
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    Explanations

    mentions of casualties in a military or conflict context

    oai_token-act-pair · gpt-3.5-turbo

    words related to casualties and loss in context, especially in military or combat situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    nder
    -0.76
    perm
    -0.73
    ramid
    -0.70
    bor
    -0.66
    por
    -0.66
    cer
    -0.65
     Gos
    -0.64
    chain
    -0.64
    hist
    -0.63
    aired
    -0.62
    POSITIVE LOGITS
     casualties
    1.48
     casualty
    1.14
    oided
    0.93
     bystanders
    0.88
     losses
    0.82
    espie
    0.82
     fatalities
    0.81
     veter
    0.76
     bombers
    0.75
     hostages
    0.74
    Activations Density 0.007%

    No Known Activations