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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. 10-RES-JB
    11. 23389
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    Explanations

    references to different levels of a building, especially involving floors

    oai_token-act-pair · gpt-3.5-turbo

    references to building levels and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wana
    -0.99
    ciating
    -0.91
    lance
    -0.83
    uncture
    -0.81
    zsche
    -0.77
    asca
    -0.73
    achu
    -0.73
    ubric
    -0.72
     Canaver
    -0.71
    auts
    -0.70
    POSITIVE LOGITS
     apartment
    1.45
     balcony
    1.40
     apartments
    1.33
     balcon
    1.15
     bedroom
    1.10
     condo
    1.10
     loft
    1.10
     bedrooms
    1.08
     attic
    1.07
     suites
    1.05
    Activations Density 0.075%

    No Known Activations