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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 8-RES-JB
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    Explanations

    references to the media company "Time Warner."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the media company Time Warner

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    qqa
    -0.73
    warts
    -0.70
    ourt
    -0.69
    insula
    -0.68
    rosis
    -0.68
    ramid
    -0.66
    rahim
    -0.64
    agonist
    -0.63
    heses
    -0.62
    riad
    -0.61
    POSITIVE LOGITS
    frames
    1.06
    frame
    0.99
    zone
    0.94
     Warner
    0.92
    glass
    0.90
    borne
    0.83
     consuming
    0.83
    keeping
    0.82
    bomb
    0.80
    trial
    0.79
    Activations Density 0.061%

    No Known Activations