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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. 0-RES-JB
    11. 7148
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    Explanations

    terms related to injury or harm, particularly focusing on individuals being wounded

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries or people who have been harmed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Trend
    -0.71
    perm
    -0.70
    BN
    -0.67
     Entry
    -0.65
    Grid
    -0.63
     RGB
    -0.62
    ellar
    -0.61
    global
    -0.60
    anny
    -0.60
     Eco
    -0.59
    POSITIVE LOGITS
     wounded
    3.66
     injured
    2.41
     wounding
    2.14
     wounds
    1.95
     slain
    1.75
     damaged
    1.51
     bruised
    1.47
     wound
    1.45
    jured
    1.44
     paralyzed
    1.43
    Activations Density 0.015%

    No Known Activations