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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. 1-RES-JB
    11. 16900
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    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    vous
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    ights
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    tails
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    unes
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    jin
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    tail
    -0.73
    kos
    -0.73
    alin
    -0.68
    und
    -0.67
    ylan
    -0.67
    POSITIVE LOGITS
     location
    1.31
     locations
    1.17
    location
    0.92
     Location
    0.88
     locate
    0.84
     Locations
    0.83
     locality
    0.82
     signage
    0.80
     locating
    0.75
     relocation
    0.75
    Activations Density 0.011%

    No Known Activations