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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. 8-RES-JB
    11. 321
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    INDEX
    Explanations

    instances where an action is suggested or recommended

    oai_token-act-pair · gpt-3.5-turbo

    phrases or combinations of words that indicate an action or purpose

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apsed
    -0.66
     tong
    -0.64
     folded
    -0.63
     endorsements
    -0.62
    spection
    -0.62
     rolled
    -0.61
     bombed
    -0.59
     Disclosure
    -0.59
     Steps
    -0.57
     erupted
    -0.57
    POSITIVE LOGITS
     ensure
    1.41
     maximize
    1.38
     avoid
    1.32
     facilitate
    1.29
     minimize
    1.29
     prevent
    1.28
     lessen
    1.25
     alleviate
    1.24
     compensate
    1.24
     conserve
    1.22
    Activations Density 0.260%

    No Known Activations