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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. 4-RES-JB
    11. 2580
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    INDEX
    Explanations

    mentions of public exhibitions or showcases

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "display" and its variations

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

    No Comments

    Negative Logits
    trak
    -0.85
    istani
    -0.78
    externalActionCode
    -0.66
    lake
    -0.65
    leans
    -0.65
    ential
    -0.63
    oner
    -0.62
     annexed
    -0.62
     breathed
    -0.60
     injection
    -0.60
    POSITIVE LOGITS
     displays
    1.11
     Thumbnails
    0.96
     display
    0.93
    igators
    0.90
     prominently
    0.88
    wcsstore
    0.85
    display
    0.82
     exhibits
    0.82
    Pixel
    0.80
    Display
    0.79
    Activations Density 0.017%

    No Known Activations