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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 9-RES-JB
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    architectural features and descriptions related to buildings

    oai_token-act-pair · gpt-3.5-turbo

    architectural features and descriptions of buildings

    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
    iliate
    -0.82
    ensitivity
    -0.81
    dose
    -0.81
    phrine
    -0.79
    eele
    -0.78
    irlf
    -0.74
    imester
    -0.74
    =-=-=-=-=-=-=-=-
    -0.74
    ratom
    -0.73
    etimes
    -0.72
    POSITIVE LOGITS
     roofs
    1.23
     limestone
    1.18
     buildings
    1.14
     Gothic
    1.14
     granite
    1.13
     facade
    1.12
     pillars
    1.11
     balcon
    1.10
     ceilings
    1.10
     walls
    1.09
    Activations Density 0.366%

    No Known Activations