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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. 3-RES-JB
    11. 3472
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    Explanations

    references to transportation systems, particularly the GO Train

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific transit system

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    creen
    -0.74
    acters
    -0.72
    icio
    -0.71
     Horus
    -0.69
     ceilings
    -0.64
     Osw
    -0.62
    ussen
    -0.62
     Jude
    -0.61
    riages
    -0.61
     Jed
    -0.61
    POSITIVE LOGITS
    GO
    1.16
    VE
    1.00
    OD
    0.95
    VER
    0.95
    UE
    0.94
    OGR
    0.92
    ARCH
    0.91
    XL
    0.90
    ALS
    0.90
    vernment
    0.88
    Activations Density 0.005%

    No Known Activations