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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 20430
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    INDEX
    Explanations

    stock photo captions or mentions of stock photo agencies

    oai_token-act-pair · gpt-3.5-turbo

    references to stock imagery and visuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BLE
    -0.89
    Äĩ
    -0.74
    undai
    -0.70
    sole
    -0.69
    ogens
    -0.67
    BILITY
    -0.64
     phased
    -0.63
     cla
    -0.63
     estab
    -0.63
     Gutenberg
    -0.62
    POSITIVE LOGITS
    holm
    1.17
    holders
    0.95
    yards
    0.91
    ings
    0.91
    still
    0.87
    dale
    0.86
    holder
    0.86
    otle
    0.81
    utherland
    0.81
    yard
    0.79
    Activations Density 0.008%

    No Known Activations