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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. 810
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    Explanations

    phrases expressing gratitude or appreciation

    oai_token-act-pair · gpt-3.5-turbo

    exclamations or expressions of strong emotion

    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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    No Comments

    Negative Logits
    ylum
    -0.61
     almonds
    -0.60
    Ö¼
    -0.58
     plur
    -0.56
     heck
    -0.56
     unlucky
    -0.55
     boiling
    -0.55
     minded
    -0.54
     sucker
    -0.54
     glim
    -0.54
    POSITIVE LOGITS
    @#&
    1.27
    ãĥ¤
    0.85
    eatures
    0.78
    src
    0.75
    #$
    0.72
     Replace
    0.72
    ategory
    0.71
    ctory
    0.71
     Visit
    0.70
     Password
    0.70
    Activations Density 0.033%

    No Known Activations