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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. 3-RES-JB
    11. 17184
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    Explanations

    phrases related to casualties in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to casualties and fatalities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    perm
    -0.72
    por
    -0.71
    ramid
    -0.67
    hist
    -0.67
     Gos
    -0.65
     Collider
    -0.63
    chrome
    -0.61
    Leaks
    -0.60
    ck
    -0.59
    whe
    -0.59
    POSITIVE LOGITS
     casualties
    1.31
     casualty
    1.00
     inflicted
    0.91
    oided
    0.88
     bystanders
    0.88
     incurred
    0.84
     fatalities
    0.81
     losses
    0.76
     Victims
    0.75
     deaths
    0.75
    Activations Density 0.011%

    No Known Activations