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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. 4-RES-JB
    11. 13603
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    INDEX
    Explanations

    mentions of individuals or organizations in legal contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to legal or judicial proceedings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    colored
    -0.76
     Hawai
    -0.73
    GOP
    -0.73
    Defense
    -0.72
    rollment
    -0.72
     favor
    -0.72
     favored
    -0.71
     favors
    -0.70
     someday
    -0.70
    Texas
    -0.70
    POSITIVE LOGITS
     £
    1.24
     realise
    1.22
     recognise
    1.21
     centre
    1.18
     apologise
    1.15
     analyse
    1.14
     aluminium
    1.14
     centres
    1.14
     recognised
    1.12
     mould
    1.11
    Activations Density 4.545%

    No Known Activations