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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. 5-RES-JB
    6. 5392
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    Explanations

    references to the foundational or fundamental aspects of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss foundational arguments or justifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opers
    -0.87
    oping
    -0.79
    ipop
    -0.73
    cha
    -0.73
     Wend
    -0.72
    oho
    -0.71
     Rosenberg
    -0.71
    estern
    -0.69
    andro
    -0.68
    osen
    -0.68
    POSITIVE LOGITS
     basis
    0.93
     underpin
    0.79
     foundation
    0.79
    plates
    0.77
     grounding
    0.75
     premise
    0.75
     thereof
    0.73
     grounds
    0.72
     footing
    0.71
     assumptions
    0.69
    Activations Density 0.031%

    No Known Activations