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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. 3007
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    INDEX
    Explanations

    phrases related to money management and staying within limits

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to balance and equilibrium

    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
    writer
    -0.77
    writers
    -0.74
    NAME
    -0.70
    OLOG
    -0.69
    oji
    -0.69
    Jere
    -0.68
    CHAT
    -0.68
    OLOGY
    -0.67
    clips
    -0.66
    ACH
    -0.65
    POSITIVE LOGITS
    balance
    0.91
     imbalance
    0.91
     balancing
    0.90
    balanced
    0.89
     balance
    0.86
    amental
    0.83
     balanced
    0.81
     balances
    0.79
     sexes
    0.77
     between
    0.76
    Activations Density 0.021%

    No Known Activations