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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
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    Explanations

    mentions of violent acts resulting in death

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "killing" in various contexts

    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
    olit
    -0.78
    ç
    -0.72
     Horizons
    -0.67
     Compass
    -0.66
     Uni
    -0.64
     Style
    -0.62
    izons
    -0.62
     Retro
    -0.62
     Colleg
    -0.62
     accommod
    -0.61
    POSITIVE LOGITS
     killing
    3.62
    killing
    2.76
     murdering
    2.51
     slaying
    2.47
     Killing
    2.40
     killings
    2.29
     kill
    2.11
     killers
    2.09
     assass
    1.97
     kills
    1.94
    Activations Density 0.024%

    No Known Activations