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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. 8977
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    Explanations

    keywords related to motor vehicles

    oai_token-act-pair · gpt-3.5-turbo

    references to motor vehicles

    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
     Michaels
    -0.78
     Foley
    -0.75
     Kore
    -0.72
    ereo
    -0.72
     Caesar
    -0.71
     Dynasty
    -0.70
     Ibid
    -0.69
     Ming
    -0.68
     Alibaba
    -0.65
     Bowie
    -0.65
    POSITIVE LOGITS
    bike
    1.29
    cycl
    1.18
    cycle
    1.14
    otor
    1.12
    puter
    1.06
    netic
    0.92
    chair
    0.92
    wheel
    0.92
    ized
    0.91
    oshenko
    0.85
    Activations Density 0.009%

    No Known Activations