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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
    11. 17535
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    Explanations

    promotional text encouraging the reader to subscribe or engage with content

    oai_token-act-pair · gpt-3.5-turbo

    elements related to newsletter subscriptions and user engagement

    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
    ELY
    -0.67
    eger
    -0.64
    escription
    -0.62
    uate
    -0.61
     Anth
    -0.60
    Ident
    -0.59
    RESULTS
    -0.58
    --------------------
    -0.57
    :[
    -0.57
    RAW
    -0.57
    POSITIVE LOGITS
     guiActiveUn
    0.62
    ãĤ¨
    0.61
     inbox
    0.60
    wid
    0.60
    amacare
    0.59
    ģ«
    0.58
    asts
    0.58
    inion
    0.57
    osition
    0.57
    morning
    0.57
    Activations Density 0.047%

    No Known Activations