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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21451
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    INDEX
    Explanations

    mentions of the word 'ordinary'

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of ordinary people or ordinary life

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olic
    -0.73
    rogram
    -0.71
    asus
    -0.69
    haw
    -0.69
    arth
    -0.68
    zik
    -0.67
    lez
    -0.64
    utra
    -0.64
    CVE
    -0.63
    AIDS
    -0.63
    POSITIVE LOGITS
    ordinary
    1.06
     ordinary
    0.88
     mortals
    0.87
     sized
    0.87
    isation
    0.78
     everyday
    0.76
    cy
    0.76
    ised
    0.76
     weekday
    0.75
    arily
    0.74
    Activations Density 0.015%

    No Known Activations