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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 6203
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    Explanations

    phrases related to legal matters

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and associated contextual indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hovah
    -0.70
     covenant
    -0.67
     fermented
    -0.65
     nightly
    -0.65
     incarn
    -0.65
     legally
    -0.64
    aditional
    -0.64
     neighb
    -0.64
     furnace
    -0.63
     horrend
    -0.63
    POSITIVE LOGITS
    Advertisement
    1.47
    Newsletter
    1.45
    Finally
    1.29
    However
    1.26
    Meanwhile
    1.26
    Another
    1.25
    Related
    1.25
    Instead
    1.21
    Still
    1.21
    Some
    1.20
    Activations Density 0.791%

    No Known Activations