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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. 8080
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    Explanations

    references to or descriptions of ports

    oai_token-act-pair · gpt-3.5-turbo

    references to ports and port-related activities

    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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    Negative Logits
     Bears
    -0.75
    awks
    -0.68
    pta
    -0.65
     Lerner
    -0.64
    avid
    -0.63
    awk
    -0.61
     Hour
    -0.60
     Zombies
    -0.60
     Void
    -0.58
     Evidence
    -0.57
    POSITIVE LOGITS
    folios
    1.10
    ugal
    1.10
    folio
    1.04
     port
    0.98
    rait
    0.92
     ports
    0.85
     ported
    0.84
     Ports
    0.81
    ilage
    0.78
    raits
    0.78
    Activations Density 0.008%

    No Known Activations