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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. 1956
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    Explanations

    confirmation-related terms like 'confirmation', 'email', and 'code'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to evaluation processes and administrative tasks

    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
    urat
    -0.71
    urnal
    -0.70
    aucas
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    姫
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    uddin
    -0.65
    ãģĦ
    -0.64
    ukong
    -0.64
    thia
    -0.63
    urgical
    -0.63
    aples
    -0.61
    POSITIVE LOGITS
    itory
    0.77
    lete
    0.69
     Obi
    0.61
     Directive
    0.58
    earances
    0.57
     [*]
    0.56
     ("
    0.56
     (/
    0.56
    asse
    0.56
     Protocol
    0.56
    Activations Density 0.634%

    No Known Activations