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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. 9-RES-JB
    11. 5950
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    Explanations

    phrases with instructions or steps

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating purpose or intention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apsed
    -0.64
     clicking
    -0.62
     Perspective
    -0.61
     interviewed
    -0.60
    Got
    -0.60
    pie
    -0.60
     hacked
    -0.60
    published
    -0.60
     copied
    -0.60
    spection
    -0.60
    POSITIVE LOGITS
     ensure
    1.58
     avoid
    1.54
     minimize
    1.47
     prevent
    1.47
     facilitate
    1.42
     maximize
    1.41
     accommodate
    1.38
     lessen
    1.38
     compensate
    1.35
     insure
    1.34
    Activations Density 0.262%

    No Known Activations