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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. 4-RES-JB
    11. 23980
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    Explanations

    proper nouns, specifically names

    oai_token-act-pair · gpt-3.5-turbo

    mention of the name "Brett" in various contexts

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

    No Comments

    Negative Logits
    Flow
    -0.85
    izoph
    -0.82
    CVE
    -0.79
    Interstitial
    -0.72
    ItemThumbnailImage
    -0.71
    pir
    -0.71
    ahime
    -0.70
    joined
    -0.70
    horse
    -0.69
     NCT
    -0.69
    POSITIVE LOGITS
     Kavanaugh
    1.29
     Brett
    1.12
    rett
    0.97
     Fav
    0.95
     Vaughn
    0.83
     Wyatt
    0.83
     Hed
    0.83
     Gibson
    0.82
     Ryder
    0.81
    itude
    0.81
    Activations Density 0.007%

    No Known Activations