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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 3473
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    INDEX
    Explanations

    financial values

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    financial figures and monetary values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     hemor
    -1.14
     undermin
    -1.13
     unbeliev
    -1.09
     millenn
    -1.08
     exha
    -1.07
     tiss
    -1.07
    ¥ŀ
    -1.05
     enthusi
    -1.04
     practition
    -1.04
     unnecess
    -1.03
    POSITIVE LOGITS
    £
    1.59
    350
    1.24
    4000
    1.22
    6000
    1.21
    500
    1.21
    300
    1.20
    5000
    1.20
    250
    1.19
    1000
    1.18
    850
    1.18
    Activations Density 0.066%

    No Known Activations