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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. 10-RES-JB
    11. 7078
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    uras
    -0.78
    alore
    -0.71
     Tsukuyomi
    -0.68
    factor
    -0.63
    alus
    -0.63
    quickShipAvailable
    -0.61
    olver
    -0.61
     loophole
    -0.60
     Stain
    -0.59
    orph
    -0.58
    POSITIVE LOGITS
     emails
    0.92
    interstitial
    0.85
     notifications
    0.83
     Emails
    0.82
     invitations
    0.76
     notification
    0.73
     newsletters
    0.72
     email
    0.71
    Interstitial
    0.70
    email
    0.69
    Activations Density 0.017%

    No Known Activations