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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. 12-RES-JB
    11. 3673
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    Explanations

    words related to food and nutrition

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to food security and related issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wink
    -0.76
     Painter
    -0.72
     Jed
    -0.70
     Cath
    -0.69
     Ernst
    -0.68
     Bach
    -0.65
     Moff
    -0.63
     Vul
    -0.62
    âĸ¬
    -0.62
     Weld
    -0.62
    POSITIVE LOGITS
    grain
    1.34
    stuff
    1.13
    banks
    1.12
     stamps
    1.09
     insecurity
    1.02
     insecure
    1.00
    st
    0.98
     stamp
    0.91
     parcels
    0.90
    security
    0.89
    Activations Density 0.051%

    No Known Activations