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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. 3-RES-JB
    11. 11307
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to redaction and classification of documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Dancing
    -0.70
     Axe
    -0.69
    ¥µ
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    owitz
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     Darling
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    ¬¼
    -0.66
     Ascend
    -0.65
    bent
    -0.64
    undai
    -0.64
     Sv
    -0.64
    POSITIVE LOGITS
     redacted
    0.82
    20439
    0.80
    CLASSIFIED
    0.78
    DATA
    0.73
    RON
    0.73
    aneous
    0.73
    ritten
    0.72
    aneously
    0.71
    xxxxxxxx
    0.71
     declass
    0.71
    Activations Density 0.034%

    No Known Activations