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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. 5-RES-JB
    6. 6232
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    Explanations

    words related to fur, particularly high activation for the word "fur"

    oai_token-act-pair · gpt-3.5-turbo

    references to fur

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ysis
    -0.69
     Bernstein
    -0.67
     Meier
    -0.66
    ECH
    -0.64
     Defenders
    -0.64
     Mub
    -0.63
     Goddard
    -0.63
     McKenna
    -0.62
    esley
    -0.62
     Rew
    -0.61
    POSITIVE LOGITS
    fur
    1.19
    thur
    1.17
    rier
    1.14
    rows
    1.02
    geons
    0.94
    geon
    0.94
    riers
    0.88
    balls
    0.88
    hair
    0.88
    rito
    0.87
    Activations Density 0.018%

    No Known Activations