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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. 17552
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    Explanations

    references to specific floors of buildings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of building floors and associated details

    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
    wana
    -0.93
    zsche
    -0.88
    anol
    -0.77
    ciating
    -0.73
    anson
    -0.73
     Canaver
    -0.73
    elope
    -0.71
    icio
    -0.71
    ophen
    -0.70
    ontent
    -0.70
    POSITIVE LOGITS
     balcony
    1.27
     apartment
    1.11
     apartments
    1.01
     closet
    0.99
     attic
    0.98
     basement
    0.96
    stairs
    0.95
     loft
    0.95
     balcon
    0.95
     stairs
    0.94
    Activations Density 0.103%

    No Known Activations