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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. 12022
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    Explanations

    terms related to medical conditions or treatments

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the article "a."

    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
    assisted
    -0.82
    sheets
    -0.73
    Attempts
    -0.70
    OWS
    -0.69
    ographs
    -0.67
     endeavors
    -0.66
    eyes
    -0.65
    Imagine
    -0.65
    anism
    -0.65
    measures
    -0.65
    POSITIVE LOGITS
     lot
    1.29
     plethora
    1.10
     tremendous
    1.06
     LOT
    1.00
     possibility
    1.00
     huge
    0.99
     bunch
    0.98
     multitude
    0.97
     definite
    0.96
     chance
    0.95
    Activations Density 0.114%

    No Known Activations