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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. 13346
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    Explanations

    percentages or fractions

    oai_token-act-pair · gpt-3.5-turbo

    percentage data and statistics

    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
    GD
    -0.63
    ARP
    -0.62
     BIOS
    -0.62
    RAW
    -0.61
     kindly
    -0.61
    Stretch
    -0.58
    XT
    -0.57
    !/
    -0.57
     Leilan
    -0.56
    HUD
    -0.56
    POSITIVE LOGITS
     cent
    1.26
    secut
    1.00
    secution
    1.00
     capita
    0.97
    imeters
    0.94
    tains
    0.93
    malink
    0.92
    CENT
    0.92
    imeter
    0.91
    uvian
    0.90
    Activations Density 0.025%

    No Known Activations