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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. 6-RES-JB
    11. 12059
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    Explanations

    words related to articles or written pieces

    oai_token-act-pair · gpt-3.5-turbo

    mentions of articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cffff
    -0.90
    cffffcc
    -0.77
     Nadu
    -0.75
    ²¾
    -0.74
    elsius
    -0.74
    pter
    -0.73
    edient
    -0.71
    heed
    -0.71
    bered
    -0.70
    inav
    -0.69
    POSITIVE LOGITS
    meal
    1.16
     articles
    0.88
     published
    0.82
     titled
    0.80
     article
    0.77
     detailing
    0.75
     Articles
    0.75
    abal
    0.74
     editor
    0.73
     describing
    0.72
    Activations Density 0.025%

    No Known Activations