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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. 9-RES-JB
    11. 23585
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    INDEX
    Explanations

    temporal information like dates and times

    oai_token-act-pair · gpt-3.5-turbo

    numerical or statistical data presented in various formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     leve
    -0.61
    asma
    -0.57
    glas
    -0.57
     conservatives
    -0.55
    abis
    -0.54
     telecommunications
    -0.52
    attery
    -0.52
    istries
    -0.51
    outh
    -0.51
    rier
    -0.50
    POSITIVE LOGITS
    OTAL
    0.89
    Loading
    0.81
    quished
    0.80
    Optional
    0.71
    unknown
    0.71
     Includes
    0.71
    =-=-
    0.70
    cellaneous
    0.70
    tie
    0.69
    Note
    0.68
    Activations Density 0.581%

    No Known Activations