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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. 21828
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    INDEX
    Explanations

    words related to perception, especially phrases related to how things are perceived

    oai_token-act-pair · gpt-3.5-turbo

    terms related to perception and its implications or interpretations

    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
    estones
    -0.75
    sit
    -0.72
    eni
    -0.72
    Interstitial
    -0.71
    swick
    -0.68
    contract
    -0.68
    gre
    -0.67
    ceed
    -0.66
    hatt
    -0.65
    loads
    -0.65
    POSITIVE LOGITS
     perceptions
    0.87
     Perception
    0.86
     perception
    0.86
     impressions
    0.76
     impression
    0.74
    ally
    0.74
     Wiz
    0.72
    terness
    0.70
     opin
    0.69
     Illusion
    0.68
    Activations Density 0.025%

    No Known Activations