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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. 9-RES-JB
    11. 9859
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    Explanations

    words related to transportation infrastructure, such as railways and projects

    oai_token-act-pair · gpt-3.5-turbo

    references to light rail systems and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aroo
    -0.81
    FactoryReloaded
    -0.68
     Dhabi
    -0.64
    rency
    -0.63
    >>\
    -0.63
    çĭ
    -0.62
    ãĥĥãĥī
    -0.62
     Zar
    -0.62
    ties
    -0.61
    legate
    -0.61
    POSITIVE LOGITS
    elight
    0.97
     lamps
    0.87
     candles
    0.85
     torches
    0.81
    dark
    0.79
    reflect
    0.79
    oresc
    0.78
    ech
    0.77
     candle
    0.75
    skinned
    0.75
    Activations Density 0.159%

    No Known Activations