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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. 3-RES-JB
    11. 12785
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    Explanations

    Proper names in the format "first last"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the character 'n' in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.79
    EStream
    -0.69
     compe
    -0.69
    EStreamFrame
    -0.67
     caution
    -0.67
    milo
    -0.64
     acron
    -0.64
    MODE
    -0.62
    rero
    -0.61
     Ãľ
    -0.61
    POSITIVE LOGITS
    onsense
    1.12
    uggets
    1.12
    aturally
    1.11
    ihil
    1.10
    ovation
    1.05
    ucle
    1.04
    umeric
    1.03
    umerous
    1.01
    acht
    0.99
    imble
    0.99
    Activations Density 0.037%

    No Known Activations