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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. 9641
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    Explanations

    references to fans of various topics or groups

    oai_token-act-pair · gpt-3.5-turbo

    references to fans of various entities 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
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    Negative Logits
    essions
    -0.70
     buffers
    -0.67
     jun
    -0.66
     jars
    -0.65
     incapac
    -0.65
     prosecuting
    -0.64
    rooms
    -0.63
    chell
    -0.62
     prosecute
    -0.62
    Frameworks
    -0.62
    POSITIVE LOGITS
     Fan
    3.87
    Fan
    3.01
    fan
    2.05
     Fans
    2.05
     fan
    2.03
    Fans
    1.67
     fans
    1.45
     fandom
    1.36
     Fang
    1.36
     Gamer
    1.22
    Activations Density 0.012%

    No Known Activations