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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. 15577
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    INDEX
    Explanations

    numerical values within sentences that may indicate rankings or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, particularly periods and their frequency in various contexts

    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
     glim
    -0.75
     mosqu
    -0.75
    imore
    -0.71
    imar
    -0.68
    irez
    -0.66
    ombo
    -0.66
    itaire
    -0.66
     involuntary
    -0.65
    igning
    -0.64
    onda
    -0.64
    POSITIVE LOGITS
    icio
    0.99
     Parables
    0.86
     req
    0.83
    wikipedia
    0.82
    ItemTracker
    0.76
     Retrieved
    0.74
    assetsadobe
    0.73
    Ct
    0.73
     Atk
    0.71
     Accessed
    0.70
    Activations Density 0.131%

    No Known Activations