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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. 1001
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    Explanations

    mentions of personal matters or opinions, especially related to health, politics, or lifestyle

    oai_token-act-pair · gpt-3.5-turbo

    references to personal information and experiences

    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
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -1.17
    UMP
    -0.79
    REG
    -0.76
    LER
    -0.73
    etting
    -0.71
    å¾
    -0.71
    LOS
    -0.68
    NESS
    -0.68
     Archdemon
    -0.67
    ÄŁ
    -0.67
    POSITIVE LOGITS
    ised
    1.28
    ized
    1.13
    ization
    1.10
    isation
    1.05
    izing
    1.03
    izations
    1.03
    ities
    1.02
     belongings
    1.02
    isations
    0.97
    izes
    0.97
    Activations Density 0.056%

    No Known Activations