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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. 8-RES-JB
    11. 16989
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    Explanations

    phrases related to mornings and beginnings of routines

    oai_token-act-pair · gpt-3.5-turbo

    actions or experiences related to relaxation and leisure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    AMY
    -0.66
    stood
    -0.65
    venge
    -0.60
    cens
    -0.59
    uploads
    -0.58
     indemn
    -0.56
     Courts
    -0.56
     Charity
    -0.56
     Judicial
    -0.53
    é¾į
    -0.52
    POSITIVE LOGITS
     oneself
    0.76
     sweaty
    0.69
     yourself
    0.69
     menus
    0.67
     crappy
    0.65
     headphones
    0.64
     keyboard
    0.63
     typing
    0.62
     grandma
    0.62
     blinking
    0.62
    Activations Density 0.793%

    No Known Activations