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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. 2-RES-JB
    11. 7304
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    Explanations

    keywords related to parts of a vehicle, especially the hull and windshield

    oai_token-act-pair · gpt-3.5-turbo

    mentions of physical structures and components of vehicles or vessels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     IMAGES
    -0.77
     mosqu
    -0.77
     helicop
    -0.75
    Interstitial
    -0.74
    interstitial
    -0.71
    avez
    -0.70
    utical
    -0.68
    psey
    -0.66
     authorize
    -0.63
     Clause
    -0.61
    POSITIVE LOGITS
     hull
    1.19
     wip
    0.92
    sie
    0.86
    ãĥ¼ãĤ¯
    0.84
    abal
    0.77
    ãĥĥãĥī
    0.73
    wn
    0.72
    breaker
    0.72
    restling
    0.72
     rud
    0.71
    Activations Density 0.011%

    No Known Activations