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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 15718
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    Explanations

    In this case, the main thing this neuron does is find occurrences related to violent incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to violent incidents and legal cases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     brakes
    -0.97
    aughs
    -0.81
     buttons
    -0.68
    tics
    -0.64
    reci
    -0.64
    ient
    -0.64
     views
    -0.62
    iences
    -0.62
    ostics
    -0.62
     revolutions
    -0.60
    POSITIVE LOGITS
     spree
    0.85
     spanning
    0.77
     involving
    0.74
     costing
    0.72
     riddled
    0.71
    ĸļ
    0.70
     totaling
    0.69
     guiActiveUnfocused
    0.69
     overseen
    0.68
    cap
    0.68
    Activations Density 0.315%

    No Known Activations