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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. 0-RES-JB
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    Explanations

    words related to a historical figure named Charlemagne

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "lem" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Operating
    -0.69
     operating
    -0.68
     running
    -0.66
     Sakura
    -0.64
     expected
    -0.61
     à¨
    -0.59
     Running
    -0.57
     Sunrise
    -0.57
     advertised
    -0.57
    ĸļ
    -0.56
    POSITIVE LOGITS
    lem
    4.75
    lems
    2.81
    lev
    1.47
    lement
    1.37
    lements
    1.35
    le
    1.19
    landers
    1.15
    LES
    1.12
    lez
    1.11
    ler
    1.07
    Activations Density 0.019%

    No Known Activations