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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. 11521
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    INDEX
    Explanations

    phrases related to distance, progress, or achievement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a journey or progress towards a goal

    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
    SPONSORED
    -0.86
    ghazi
    -0.84
    Dialogue
    -0.74
    mobi
    -0.69
    911
    -0.67
    CI
    -0.65
    Sources
    -0.64
    PLA
    -0.63
    Article
    -0.62
     Narr
    -0.62
    POSITIVE LOGITS
     underest
    0.87
     overdue
    0.72
     hindsight
    0.71
     Kuro
    0.71
    sighted
    0.70
     turnaround
    0.70
    orrow
    0.68
     admire
    0.68
     coincidence
    0.68
     understatement
    0.67
    Activations Density 0.434%

    No Known Activations