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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. 1601
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    Explanations

    proper nouns, possibly related to individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    specific letter combinations or patterns in words

    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
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    No Comments

    Negative Logits
     supra
    -0.65
    nesota
    -0.60
    imal
    -0.59
     citations
    -0.58
     Sovere
    -0.58
     fav
    -0.56
     abrupt
    -0.55
     paragraphs
    -0.55
    gage
    -0.54
     Pix
    -0.53
    POSITIVE LOGITS
    velt
    0.84
    steen
    0.76
    erella
    0.71
    ÅĤ
    0.70
    âĸ¬
    0.67
    Oracle
    0.67
    raud
    0.65
    lyn
    0.65
    jer
    0.63
    estern
    0.62
    Activations Density 0.175%

    No Known Activations