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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. 11-RES-JB
    11. 14218
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    Explanations

    details related to violent incidents, including shootings and physical injuries

    oai_token-act-pair · gpt-3.5-turbo

    instances of gun violence and injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     [&
    -0.71
     honoured
    -0.70
    actionDate
    -0.64
     hither
    -0.59
    ploma
    -0.59
     opin
    -0.59
    reciation
    -0.59
     organise
    -0.59
     renaissance
    -0.58
    udget
    -0.57
    POSITIVE LOGITS
     shortly
    1.00
     yelling
    0.89
     moments
    0.89
     seconds
    0.87
     injuring
    0.87
     before
    0.84
     nearby
    0.83
     afterward
    0.81
     minutes
    0.79
     prompting
    0.79
    Activations Density 0.408%

    No Known Activations