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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. 7-RES-JB
    11. 18014
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    Explanations

    words related to violent or harmful actions, such as executions, beheadings, and stoning

    oai_token-act-pair · gpt-3.5-turbo

    references to violence and punishment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     explan
    -0.84
    paren
    -0.77
    aird
    -0.73
    soType
    -0.72
    Balt
    -0.71
    soDeliveryDate
    -0.70
     misunder
    -0.69
    DEP
    -0.69
    CRE
    -0.68
    ellation
    -0.68
    POSITIVE LOGITS
     unarmed
    0.88
     inflicted
    0.87
     victims
    0.85
     corpses
    0.81
     Victims
    0.80
     Manson
    0.78
     Victim
    0.78
     spree
    0.78
     chops
    0.76
     victim
    0.75
    Activations Density 0.210%

    No Known Activations