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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. 3008
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    Explanations

    specific organizational units or departments within different institutions

    oai_token-act-pair · gpt-3.5-turbo

    names of governmental and institutional entities or units

    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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    Negative Logits
    ãĤ®
    -0.74
    ãģĦ
    -0.74
     differe
    -0.72
    inventoryQuantity
    -0.72
    ometric
    -0.68
    é¾įå
    -0.67
    ãĤ¼ãĤ¦ãĤ¹
    -0.67
    isable
    -0.66
     msec
    -0.64
     gaping
    -0.63
    POSITIVE LOGITS
     Ltd
    0.91
    orer
    0.81
     Branch
    0.78
     Beirut
    0.75
    RI
    0.75
     (
    0.74
     Chair
    0.73
     Limited
    0.71
     (@
    0.71
     LLC
    0.71
    Activations Density 0.206%

    No Known Activations