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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. 8-RES-JB
    11. 14265
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    Explanations

    measurement units with a specific value, such as '12-ounce' or '18 months'

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values and measurements

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    iasco
    -0.80
    ĵĺ
    -0.79
    ocument
    -0.79
    acci
    -0.75
    PDATE
    -0.69
    ucci
    -0.69
     ACTIONS
    -0.69
    ãĥ¥
    -0.67
    iosis
    -0.65
    utical
    -0.64
    POSITIVE LOGITS
    04
    0.73
    02
    0.67
    warts
    0.64
    members
    0.63
    05
    0.63
    xual
    0.62
    6666
    0.61
    kay
    0.61
    07
    0.61
     Mub
    0.61
    Activations Density 0.215%

    No Known Activations