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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. 11-RES-JB
    11. 16689
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    Explanations

    words related to tools or objects that can be used in specific situations

    oai_token-act-pair · gpt-3.5-turbo

    references to tools and materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ÂŃ
    -0.85
    âĢ
    -0.76
    å¼
    -0.74
    âĦ¢:
    -0.70
    ãĥ©ãĥ³
    -0.70
     âĢ
    -0.69
    cknow
    -0.68
    —"
    -0.68
    ÂŃ
    -0.67
    ãĥ¼ãĥ
    -0.67
    POSITIVE LOGITS
     alot
    1.07
     haha
    1.06
     etc
    1.06
     myself
    1.00
     doesnt
    0.93
     didnt
    0.93
     thats
    0.90
     tho
    0.90
     ect
    0.89
     beforehand
    0.88
    Activations Density 0.917%

    No Known Activations