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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. 7-RES-JB
    6. 4451
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    Explanations

    phrases related to tolerating or enduring difficult situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to tolerance or endurance of difficult situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ourage
    -0.83
    prints
    -0.72
    sters
    -0.71
    phabet
    -0.71
    gui
    -0.70
    ixt
    -0.69
    ster
    -0.67
    etheus
    -0.67
    atsuki
    -0.66
    arta
    -0.65
    POSITIVE LOGITS
     adversity
    0.94
     humiliation
    0.90
     ridicule
    0.90
     defeat
    0.88
     hardships
    0.83
     criticism
    0.82
     hardship
    0.80
     indign
    0.80
     boredom
    0.79
     compromises
    0.79
    Activations Density 0.235%

    No Known Activations