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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. 1-RES-JB
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    Explanations

    regions of text with the phrase "ru"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "ru" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raints
    -0.71
     GOODMAN
    -0.65
     CPC
    -0.61
     floor
    -0.59
    enegger
    -0.59
    lace
    -0.59
    note
    -0.59
     capturing
    -0.58
    smart
    -0.58
    avia
    -0.57
    POSITIVE LOGITS
    pees
    1.15
    uer
    1.00
    nd
    0.99
    ru
    0.97
    llor
    0.95
    cks
    0.95
    pt
    0.94
    ggle
    0.94
    pee
    0.93
    gment
    0.93
    Activations Density 0.009%

    No Known Activations