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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. 11623
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    INDEX
    Explanations

    mentions of fire-related events, such as flames, smoke, and blood

    oai_token-act-pair · gpt-3.5-turbo

    references to fire, smoke, and injuries in distressing contexts

    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
    Circ
    -0.73
    Birth
    -0.70
     Canad
    -0.70
     Idol
    -0.69
     Childhood
    -0.69
     virtues
    -0.68
    IGN
    -0.67
    Chance
    -0.66
     Campus
    -0.65
    Gene
    -0.65
    POSITIVE LOGITS
     haze
    0.90
     engulf
    0.89
     engulfed
    0.88
     flooded
    0.87
     overwhelmed
    0.86
     clinging
    0.84
     flakes
    0.83
     fog
    0.82
     overtake
    0.81
     crawled
    0.81
    Activations Density 0.174%

    No Known Activations