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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. 10-RES-JB
    11. 10511
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    Explanations

    phrases related to criticizing or warning about potential harm to society or specific groups

    oai_token-act-pair · gpt-3.5-turbo

    references to economic impacts and social justice issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scenarios
    -0.73
     NX
    -0.71
     abrupt
    -0.66
     scenario
    -0.66
    nesday
    -0.65
     onset
    -0.64
     unidentified
    -0.64
     Xuan
    -0.64
     Outbreak
    -0.63
     glitches
    -0.62
    POSITIVE LOGITS
     cherished
    1.21
     dear
    1.07
     democratically
    1.03
     entrusted
    1.01
     vital
    0.98
     rightfully
    0.97
     livelihood
    0.91
     dearly
    0.90
     precious
    0.90
     valued
    0.90
    Activations Density 0.435%

    No Known Activations