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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. 10-RES-JB
    11. 7883
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    Explanations

    comparative words, especially emphasizing an increase in intensity

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "more."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.76
    interstitial
    -0.72
    OX
    -0.70
    hyde
    -0.70
    ktop
    -0.70
    agher
    -0.70
    atan
    -0.69
    xtap
    -0.69
    hirt
    -0.69
    adal
    -0.66
    POSITIVE LOGITS
     importantly
    1.85
     interestingly
    1.30
     accurately
    1.16
     controvers
    1.14
     realistically
    1.13
     specifically
    1.11
     omin
    1.11
     than
    1.09
     broadly
    1.08
     worrisome
    1.02
    Activations Density 0.065%

    No Known Activations