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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. 9-RES-JB
    11. 20788
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    terms related to data analysis

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "analyze" or its variants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Kelvin
    -0.69
     Flav
    -0.63
     Pupp
    -0.63
     Legends
    -0.62
     Panic
    -0.61
     forever
    -0.61
     Origin
    -0.61
     allegiance
    -0.61
     ownership
    -0.60
     innocence
    -0.60
    POSITIVE LOGITS
    tical
    1.66
    tics
    1.60
    tic
    1.53
    sts
    1.51
    zing
    1.50
    zed
    1.39
    zers
    1.34
    zer
    1.27
    ze
    1.25
    zes
    1.17
    Activations Density 0.073%

    No Known Activations