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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. 2109
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    Explanations

    words related to websites or online platforms

    oai_token-act-pair · gpt-3.5-turbo

    words related to minerals or substances

    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
    Not in Any Lists

    No Comments

    Negative Logits
    AUD
    -0.62
     SPI
    -0.61
    orial
    -0.59
     credit
    -0.59
     diminishing
    -0.57
     drib
    -0.57
     Veh
    -0.56
     Garr
    -0.54
     reins
    -0.54
     lanes
    -0.54
    POSITIVE LOGITS
    ite
    4.48
    ites
    3.41
    ITE
    2.67
    itic
    2.10
    itism
    1.83
    ited
    1.76
    itely
    1.72
    iting
    1.72
    ité
    1.50
    iter
    1.42
    Activations Density 0.016%

    No Known Activations