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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. 11-RES-JB
    11. 518
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    Explanations

    percentages or numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and percentages related to statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Offline
    -0.73
     THEN
    -0.72
    DragonMagazine
    -0.69
    SHIP
    -0.66
    {"
    -0.63
    akeru
    -0.61
     Recall
    -0.60
     Float
    -0.59
    --
    -0.59
    MSN
    -0.58
    POSITIVE LOGITS
     per
    1.71
    per
    1.35
    pc
    1.10
     litres
    1.04
     cents
    1.03
     Per
    1.03
     cent
    0.98
     kilometres
    0.98
     licences
    0.97
     metres
    0.96
    Activations Density 0.059%

    No Known Activations