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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. 9-RES-JB
    11. 1429
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    Explanations

    phrases indicating an unexpected or unwanted outcome

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "in the" followed by temporal indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FontSize
    -0.64
    esa
    -0.62
    may
    -0.59
     beware
    -0.58
    tip
    -0.58
    gey
    -0.57
    catentry
    -0.57
     occasionally
    -0.57
     sometimes
    -0.57
    DragonMagazine
    -0.56
    POSITIVE LOGITS
     anymore
    1.28
    clusively
    1.13
     any
    1.10
     nor
    1.10
     slightest
    1.07
     whatsoever
    1.07
     vain
    1.04
    nor
    0.94
     anywhere
    0.92
     anything
    0.91
    Activations Density 0.203%

    No Known Activations