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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. 522
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    INDEX
    Explanations

    phrases related to war and conflict, specifically mentioning attacks, clashes, and military actions

    oai_token-act-pair · gpt-3.5-turbo

    events related to violence and conflict

    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
     designing
    -0.82
     royalty
    -0.82
     commissions
    -0.81
    ennial
    -0.74
     maximizing
    -0.74
     brainstorm
    -0.72
     envision
    -0.70
     audition
    -0.70
    yrights
    -0.69
     Pebble
    -0.69
    POSITIVE LOGITS
     Reuters
    0.85
     Serbian
    0.83
    UTERS
    0.82
     Rohingya
    0.80
     Indones
    0.80
     Nato
    0.80
     bombed
    0.80
     deadliest
    0.79
    BBC
    0.79
     Rw
    0.78
    Activations Density 0.735%

    No Known Activations