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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. 8-RES-JB
    11. 24431
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    INDEX
    Explanations

    descriptions involving interactions between people in different scenarios

    oai_token-act-pair · gpt-3.5-turbo

    references to the roles and experiences of secretaries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -1.08
     redes
    -0.82
    "},
    -0.77
    ãĤ´ãĥ³
    -0.72
    ãĤ¡
    -0.70
    ;;;;;;;;;;;;
    -0.70
    ãĤ¦ãĤ¹
    -0.70
     confirmation
    -0.68
     understatement
    -0.67
    luaj
    -0.67
    POSITIVE LOGITS
     narrator
    0.84
     backstage
    0.81
     Suddenly
    0.77
     guy
    0.76
    Suddenly
    0.75
     somebody
    0.74
     casually
    0.74
     suddenly
    0.73
    uddenly
    0.73
     Sidney
    0.72
    Activations Density 0.994%

    No Known Activations