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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. 3-RES-JB
    11. 23802
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    Explanations

    words related to religious buildings or events

    oai_token-act-pair · gpt-3.5-turbo

    signals and terms associated with energy sources and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lacking
    -0.74
    catentry
    -0.72
     SERV
    -0.63
    è¦ļéĨĴ
    -0.63
     Chilean
    -0.62
     Kinnikuman
    -0.62
     supplemental
    -0.62
    ALLY
    -0.62
     wealthy
    -0.60
     Berm
    -0.60
    POSITIVE LOGITS
    tty
    0.95
    inki
    0.90
    anka
    0.87
    idan
    0.85
    puff
    0.84
    eki
    0.83
    ansk
    0.80
    nit
    0.80
    ishi
    0.79
    ibaba
    0.79
    Activations Density 0.128%

    No Known Activations