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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. 12-RES-JB
    11. 4105
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    Explanations

    words related to challenges, issues, and improvements in a work or governmental setting

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases that express negative impacts or challenges in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orsi
    -0.83
    apons
    -0.69
    ufact
    -0.68
    eties
    -0.67
    izons
    -0.66
    anyon
    -0.65
    idth
    -0.63
    itiz
    -0.63
    Origin
    -0.62
    olester
    -0.61
    POSITIVE LOGITS
     worse
    1.10
     swe
    1.06
     harder
    1.03
     easier
    1.01
     Worse
    0.94
     clearer
    0.92
     tougher
    0.92
     toler
    0.90
     pal
    0.89
     funn
    0.89
    Activations Density 0.134%

    No Known Activations