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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
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    Explanations

    the letters "ll" in text

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the string "ll"

    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
     Preservation
    -0.67
    EStream
    -0.65
     Mobil
    -0.62
     flagged
    -0.62
    senal
    -0.61
     "{
    -0.60
     Shuttle
    -0.58
    Downloadha
    -0.57
     vain
    -0.56
     Shack
    -0.55
    POSITIVE LOGITS
    oyd
    1.48
    uminati
    1.30
    ibrary
    1.14
    ibr
    1.08
    umin
    1.04
    ounge
    0.99
    amas
    0.95
    inois
    0.92
    ateral
    0.91
    ocated
    0.91
    Activations Density 0.033%

    No Known Activations