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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 17188
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    Explanations

    words related to excitement and activities that generate excitement

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to excitement

    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
     Dragonbound
    -0.73
    SHIP
    -0.70
    externalActionCode
    -0.67
     Beyond
    -0.66
     Stard
    -0.66
    enegger
    -0.65
    beard
    -0.65
     Millennium
    -0.63
    liness
    -0.62
     Sisters
    -0.62
    POSITIVE LOGITS
    ursions
    1.37
    ursion
    1.34
    usable
    1.26
    itement
    1.13
    retion
    1.10
    ission
    1.09
    used
    1.09
    uses
    1.06
    actly
    1.04
    ulp
    1.03
    Activations Density 0.026%

    No Known Activations