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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. 9-RES-JB
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    Explanations

    incidents of violence involving shootings and killings

    oai_token-act-pair · gpt-3.5-turbo

    instances of violent actions and their consequences

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     trickle
    -0.71
    natureconservancy
    -0.68
     specificity
    -0.68
    existence
    -0.64
     Parables
    -0.64
     Levels
    -0.63
     horm
    -0.63
     XY
    -0.63
    isSpecialOrderable
    -0.63
     univers
    -0.62
    POSITIVE LOGITS
     killed
    1.18
     murdered
    1.10
    killed
    1.07
     robbed
    1.04
     stabbed
    0.96
     arrested
    0.96
     assassinated
    0.95
     Killed
    0.93
     bruised
    0.92
     slain
    0.91
    Activations Density 0.129%

    No Known Activations