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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. 5500
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    INDEX
    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically periods

    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
    Not in Any Lists

    No Comments

    Negative Logits
     behavi
    -0.71
     glim
    -0.70
     mosqu
    -0.67
     unnecess
    -0.59
     unden
    -0.57
     conflic
    -0.57
     incent
    -0.56
     answ
    -0.54
     undermin
    -0.54
     nodd
    -0.54
    POSITIVE LOGITS
     29
    1.00
     31
    0.98
     26
    0.98
     28
    0.97
     23
    0.97
     27
    0.96
     22
    0.94
     21
    0.93
     19
    0.92
     24
    0.92
    Activations Density 0.040%

    No Known Activations