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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. 9-RES-JB
    11. 17398
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    Explanations

    personal statements or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal experiences and highlights

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     themselves
    -0.84
     yourselves
    -0.77
     Himself
    -0.73
     himself
    -0.70
    idates
    -0.69
    arnaev
    -0.64
    hig
    -0.64
    tein
    -0.64
    brates
    -0.63
    Their
    -0.63
    POSITIVE LOGITS
     colleague
    0.95
    favorite
    0.88
     myself
    0.85
     friends
    0.85
    husband
    0.84
    elist
    0.82
     friend
    0.79
     girlfriend
    0.78
     roommate
    0.77
    Favorite
    0.77
    Activations Density 0.319%

    No Known Activations