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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. 57
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    Explanations

    references to hostage situations

    oai_token-act-pair · gpt-3.5-turbo

    references to hostage situations

    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
    alities
    -0.81
    iquette
    -0.81
    unders
    -0.74
    aum
    -0.72
    orough
    -0.72
    hesis
    -0.71
    resso
    -0.71
    heses
    -0.68
    iferation
    -0.67
    itely
    -0.66
    POSITIVE LOGITS
     hostage
    1.30
     hostages
    1.16
     negotiator
    0.91
     captives
    0.88
     kidn
    0.87
     negotiators
    0.83
     captive
    0.80
     rescue
    0.79
     kidnap
    0.78
     bargaining
    0.77
    Activations Density 0.013%

    No Known Activations