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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. 1545
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    Explanations

    technical terms related to systems and processes, particularly focusing on issues and challenges

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to economic and operational challenges

    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
    £ı
    -0.72
     Vide
    -0.67
    MET
    -0.64
     Entered
    -0.63
    »Ĵ
    -0.62
     MSM
    -0.61
     antioxid
    -0.60
    strument
    -0.59
    wark
    -0.58
     decorated
    -0.58
    POSITIVE LOGITS
     problems
    1.82
     woes
    1.78
     difficulties
    1.78
     issues
    1.65
     Problems
    1.57
     headaches
    1.52
     shortages
    1.52
     deficiencies
    1.50
     shortfall
    1.45
     concerns
    1.44
    Activations Density 0.650%

    No Known Activations