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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. 16500
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    Explanations

    words related to excitement or things that evoke excitement

    oai_token-act-pair · gpt-3.5-turbo

    words related to excitement or thrilling experiences

    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
    enegger
    -0.84
    externalActionCode
    -0.80
     Dragonbound
    -0.76
    SHIP
    -0.71
    heit
    -0.68
    beard
    -0.68
    strap
    -0.67
    breaker
    -0.66
    ³³³³³³³³³³³³³³³³
    -0.66
     Millennium
    -0.65
    POSITIVE LOGITS
    ursions
    1.33
    ursion
    1.31
    usable
    1.22
    ision
    1.10
    retion
    1.09
    uses
    1.06
    used
    1.06
    itement
    1.04
    ission
    1.03
    ipient
    1.02
    Activations Density 0.009%

    No Known Activations