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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. 22977
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    Explanations

    personal details and life experiences

    oai_token-act-pair · gpt-3.5-turbo

    assertions about personal identity 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
    ulence
    -0.80
    imation
    -0.79
    osate
    -0.75
    cific
    -0.71
    metics
    -0.71
     Ends
    -0.70
    omial
    -0.69
    asury
    -0.69
    inav
    -0.69
     Massacre
    -0.69
    POSITIVE LOGITS
     addicted
    1.32
     happiest
    1.29
     afraid
    1.21
     fortunate
    1.18
     lucky
    1.17
     ashamed
    1.16
     accustomed
    1.16
     enrolled
    1.14
     unsure
    1.13
     obsessed
    1.13
    Activations Density 0.357%

    No Known Activations