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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. 0-RES-JB
    11. 2648
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    Explanations

    phrases encouraging the audience to expect more information or updates in the future

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to adjusting or optimizing settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Commonwealth
    -0.90
    ocide
    -0.71
     Cust
    -0.67
     Rus
    -0.64
    ilities
    -0.62
     robbers
    -0.62
    rists
    -0.62
     Baxter
    -0.62
     Identity
    -0.61
     robbery
    -0.61
    POSITIVE LOGITS
     tuned
    4.00
     tuning
    2.67
     tune
    2.17
     Tune
    1.65
    tun
    1.64
     Tun
    1.39
     tunes
    1.35
     tun
    1.31
     optimized
    1.31
    uned
    1.30
    Activations Density 0.023%

    No Known Activations