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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. 6256
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    INDEX
    Explanations

    correlations between different variables or factors

    oai_token-act-pair · gpt-3.5-turbo

    references to correlation in research or data analysis 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
    anas
    -0.81
     Citiz
    -0.76
    arde
    -0.76
    bern
    -0.74
    Sov
    -0.73
    hoff
    -0.73
    bold
    -0.72
    fare
    -0.72
    oeuv
    -0.71
    thur
    -0.71
    POSITIVE LOGITS
     coefficient
    1.38
     coefficients
    1.21
     correlate
    1.01
     correlation
    0.99
    relation
    0.90
     correlations
    0.84
    SHIP
    0.79
     correlates
    0.78
     linking
    0.77
    ability
    0.74
    Activations Density 0.015%

    No Known Activations