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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. 22613
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    Explanations

    mentions of privacy and private information

    oai_token-act-pair · gpt-3.5-turbo

    references to privacy and private data

    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
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.87
    orsi
    -0.82
    uana
    -0.75
    obo
    -0.75
    ulhu
    -0.71
    annis
    -0.71
    INA
    -0.71
    andise
    -0.70
    awa
    -0.70
    DAY
    -0.69
    POSITIVE LOGITS
     property
    0.76
     registry
    0.75
    isable
    0.75
     sector
    0.72
     ensu
    0.72
    ised
    0.71
     Spaces
    0.71
    izable
    0.71
     equity
    0.70
    ileged
    0.69
    Activations Density 0.027%

    No Known Activations