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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. 9433
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    INDEX
    Explanations

    **determiners describing specificity and quantity.**

    oai_token-act-pair · gpt-3.5-turbo

    references to well-known individuals or entities

    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
    ulhu
    -0.78
     Phi
    -0.75
     DRAG
    -0.74
    Ń·
    -0.72
     Noir
    -0.72
     Compass
    -0.71
     Zombie
    -0.68
     Midnight
    -0.68
     XD
    -0.68
     Slide
    -0.66
    POSITIVE LOGITS
    enough
    1.19
    sized
    1.14
    connected
    1.09
    sounding
    1.04
    equipped
    1.03
    position
    1.03
    function
    1.02
    aligned
    1.02
    sided
    1.01
    backed
    1.00
    Activations Density 0.047%

    No Known Activations