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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 23566
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    INDEX
    Explanations

    descriptions of places, events, or situations where different elements are compared on a scale

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to events, specifically attendance and locations

    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
     doesnt
    -0.57
    "))
    -0.54
     NEVER
    -0.52
     didnt
    -0.52
    ©¶æ
    -0.50
     MIS
    -0.47
    )))
    -0.47
     ALWAYS
    -0.47
     tyr
    -0.47
     TOTAL
    -0.45
    POSITIVE LOGITS
    ;
    1.17
    .;
    1.05
     but
    0.95
    .
    0.95
    ,[
    0.94
    —
    0.93
    ,
    0.90
    .)
    0.89
    .[
    0.89
    —"
    0.88
    Activations Density 1.418%

    No Known Activations