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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. 7-RES-JB
    11. 2876
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    Explanations

    phrases that end with 'll

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the letters "ll" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.77
    */(
    -0.68
     guiActiveUn
    -0.67
     quo
    -0.67
    lished
    -0.65
    EStreamFrame
    -0.64
     ende
    -0.61
    ¥µ
    -0.61
    ItemTracker
    -0.58
     frustrated
    -0.58
    POSITIVE LOGITS
    uminati
    1.29
    oyd
    1.22
    ounge
    1.14
    owship
    1.07
    sburgh
    1.05
    ateral
    1.05
    ibrary
    1.03
    ows
    1.03
    iard
    1.02
    umin
    0.97
    Activations Density 0.039%

    No Known Activations