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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 7803
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    Explanations

    mentions of mental health related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to mental health issues

    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
    advertisement
    -0.82
    gger
    -0.75
    ICA
    -0.74
    IRD
    -0.73
    ded
    -0.70
    aday
    -0.70
    eled
    -0.68
    ding
    -0.66
    oulos
    -0.65
    VEN
    -0.64
    POSITIVE LOGITS
     faculties
    0.96
     disorders
    0.91
     illness
    0.86
     defic
    0.83
     disorder
    0.82
    itary
    0.80
     wellbeing
    0.79
     retard
    0.79
    awar
    0.79
     disabilities
    0.79
    Activations Density 0.011%

    No Known Activations