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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
    11. 24208
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    Explanations

    phrases related to significant events in history or news

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 's'

    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
    EStream
    -0.73
     Leilan
    -0.61
    uliffe
    -0.61
     duplicate
    -0.61
    £ı
    -0.58
     bases
    -0.57
     fuss
    -0.57
    ãĤ¡
    -0.57
     ZIP
    -0.57
    orget
    -0.56
    POSITIVE LOGITS
    ources
    1.17
    ouls
    1.02
    omew
    0.99
    atisf
    0.98
    ourced
    0.97
    kaya
    0.95
    olutions
    0.95
    ourcing
    0.94
    lightly
    0.93
    addle
    0.92
    Activations Density 0.394%

    No Known Activations