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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. 10-RES-JB
    11. 1306
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    INDEX
    Explanations

    statistics and survey results

    oai_token-act-pair · gpt-3.5-turbo

    statements presenting survey results and findings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibble
    -0.81
    ãĤ¤ãĥĪ
    -0.78
    ensor
    -0.77
    ĪĴ
    -0.75
    Synopsis
    -0.70
    inventoryQuantity
    -0.70
    MpServer
    -0.70
    ????????
    -0.69
    urat
    -0.66
    awar
    -0.63
    POSITIVE LOGITS
     78
    1.02
     71
    1.02
     83
    1.01
     fewer
    0.99
     although
    0.99
     73
    0.99
     respondents
    0.99
     nearly
    0.98
     majorities
    0.97
     91
    0.96
    Activations Density 0.143%

    No Known Activations