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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. 6-RES-JB
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    Explanations

    phrases related to taking care of someone or something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to caregiving and taking care of others

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.80
    zai
    -0.78
    arak
    -0.77
    mpeg
    -0.75
    wcs
    -0.74
    uably
    -0.74
    Cola
    -0.72
    wikipedia
    -0.71
    ells
    -0.69
    ura
    -0.69
    POSITIVE LOGITS
     yourselves
    0.81
     orphans
    0.75
     logistics
    0.71
     them
    0.70
     affairs
    0.69
     wellbeing
    0.69
     overtime
    0.68
     welfare
    0.68
     yourself
    0.67
     reins
    0.66
    Activations Density 0.059%

    No Known Activations