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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. 11-RES-JB
    11. 5609
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    Explanations

    tips and advice expressed in the document

    oai_token-act-pair · gpt-3.5-turbo

    references to tips and advice

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    urances
    -0.85
    ears
    -0.79
    enza
    -0.77
    ensions
    -0.74
    ynes
    -0.74
    urance
    -0.72
    heses
    -0.71
    nces
    -0.69
    emonium
    -0.67
    ndra
    -0.67
    POSITIVE LOGITS
     navigating
    1.34
     overcoming
    1.34
     dealing
    1.32
     avoiding
    1.30
     choosing
    1.26
     determining
    1.24
     selecting
    1.22
     maximizing
    1.21
     obtaining
    1.20
     minimizing
    1.17
    Activations Density 0.238%

    No Known Activations