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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. 5-RES-JB
    6. 16619
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    Explanations

    phrases related to violent actions or crimes

    oai_token-act-pair · gpt-3.5-turbo

    references to violent crimes and suspects involved in them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Enhanced
    -0.66
     ausp
    -0.65
     introductory
    -0.64
    podcast
    -0.64
    oult
    -0.62
    OLOG
    -0.62
     renaissance
    -0.62
     advisory
    -0.61
     quir
    -0.60
     IDE
    -0.60
    POSITIVE LOGITS
    angering
    0.80
     injuring
    0.80
    utterstock
    0.78
     senseless
    0.78
    ribly
    0.75
     fleeing
    0.71
     injure
    0.71
     whom
    0.70
    uckles
    0.70
     resisting
    0.69
    Activations Density 0.953%

    No Known Activations