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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 9387
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    Explanations

    proper nouns related to specific locations or characters

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Rex
    -0.74
     mush
    -0.69
     Zack
    -0.64
     Nig
    -0.64
     Joshua
    -0.64
    manac
    -0.63
     Judah
    -0.63
     Tank
    -0.63
     fu
    -0.63
     Cart
    -0.62
    POSITIVE LOGITS
    holm
    4.01
    helm
    1.24
    obyl
    1.20
    meier
    1.16
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    1.08
    ovan
    1.07
     Janeiro
    1.04
    agos
    1.03
    ÙĪ
    0.97
     Dreams
    0.96
    Activations Density 0.063%

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