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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. 10-RES-JB
    11. 10035
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    Explanations

    numbers that represent specific technological specifications or measurements, such as processor sizes or screen resolutions

    oai_token-act-pair · gpt-3.5-turbo

    numeric values, specifically ones related to technology specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ync
    -0.70
    iple
    -0.69
    herer
    -0.69
    hower
    -0.67
    onen
    -0.66
    hiba
    -0.64
    owered
    -0.64
    ERSON
    -0.62
    herty
    -0.61
    utra
    -0.60
    POSITIVE LOGITS
    nd
    1.35
    rd
    1.25
    00
    1.04
    50
    0.79
    mph
    0.75
    nm
    0.73
    RD
    0.72
    009
    0.71
    ald
    0.70
    mpeg
    0.68
    Activations Density 0.064%

    No Known Activations