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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. 4-RES-JB
    11. 6962
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    Explanations

    names of universities and colleges

    oai_token-act-pair · gpt-3.5-turbo

    names of educational institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    omething
    -0.56
    ãģ®é
    -0.56
    jad
    -0.55
    ibly
    -0.52
    oubted
    -0.51
    conservancy
    -0.50
    ãģĨ
    -0.49
    dfx
    -0.49
    istically
    -0.49
    everal
    -0.47
    POSITIVE LOGITS
     LTD
    0.65
     --------------------
    0.64
     ----
    0.64
     --------------------------------
    0.62
     ------
    0.61
     https
    0.60
     ----------------------------------------------------------------
    0.60
     ----------------
    0.59
     Instructions
    0.57
     -----
    0.56
    Activations Density 1.191%

    No Known Activations