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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. 23491
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    INDEX
    Explanations

    references to medical treatments or actions

    oai_token-act-pair · gpt-3.5-turbo

    statements identifying the existence or characteristics of various subjects or phenomena

    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
     Telesc
    -0.69
     Awakens
    -0.67
     encounters
    -0.67
     notices
    -0.66
     peg
    -0.64
    itches
    -0.62
     Ends
    -0.62
     senses
    -0.61
     sums
    -0.61
     Commun
    -0.61
    POSITIVE LOGITS
    rael
    1.17
    senal
    1.06
     unlikely
    1.04
     likely
    1.00
     definitely
    0.98
     hereby
    0.97
    olate
    0.97
     now
    0.96
    olation
    0.96
     currently
    0.95
    Activations Density 0.565%

    No Known Activations