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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. 8-RES-JB
    11. 16952
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    INDEX
    Explanations

    concerns or anxieties expressed in text

    oai_token-act-pair · gpt-3.5-turbo

    expressions of concern or anxiety

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chnology
    -0.78
    ewitness
    -0.75
    DragonMagazine
    -0.64
    ingers
    -0.63
    dating
    -0.62
     Rouge
    -0.60
    lite
    -0.59
    avour
    -0.59
     Granted
    -0.59
    nice
    -0.58
    POSITIVE LOGITS
    lessly
    1.05
    ingly
    1.04
    warts
    1.03
     about
    0.96
    wart
    0.96
     ABOUT
    0.91
     aloud
    0.81
     lest
    0.81
    crow
    0.78
    der
    0.77
    Activations Density 0.038%

    No Known Activations