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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. 0-RES-JB
    11. 19933
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    Explanations

    phrases related to geographic locations, especially involving junctions or specific place names

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "jun" and various junctions, indicating its focus on references to specific locations or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pan
    -0.68
    Song
    -0.67
     Aph
    -0.67
    ongs
    -0.66
    HR
    -0.66
    ESA
    -0.64
     Fan
    -0.63
    RL
    -0.62
    paid
    -0.62
    yrights
    -0.62
    POSITIVE LOGITS
     jun
    3.89
     junction
    2.46
     Junction
    1.46
     soph
    0.92
    ween
    0.87
     Junk
    0.83
     termin
    0.83
     junior
    0.80
     interchange
    0.80
     seniors
    0.80
    Activations Density 0.016%

    No Known Activations