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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. 20535
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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 @ 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
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    Negative Logits
    imilar
    -0.73
    Äĩ
    -0.71
    worldly
    -0.68
    iland
    -0.68
    cffffcc
    -0.67
    actionDate
    -0.66
    tnc
    -0.65
    odan
    -0.65
    NetMessage
    -0.65
    lyak
    -0.63
    POSITIVE LOGITS
    £ı
    0.91
     Digest
    0.88
     Syndicate
    0.86
     Newsp
    0.83
    abbit
    0.80
     Gazette
    0.76
     publishes
    0.75
     Weekly
    0.72
     Editorial
    0.71
    phia
    0.70
    Activations Density 0.073%

    No Known Activations