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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. 4-RES-JB
    11. 9679
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    Explanations

    mentions of multiple types of buildings, but particularly focusing on apartments

    oai_token-act-pair · gpt-3.5-turbo

    references to apartments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Downloadha
    -0.86
    vous
    -0.86
    xtap
    -0.75
    nir
    -0.73
    xon
    -0.71
    à¥
    -0.71
    SPONSORED
    -0.69
    ¶ħ
    -0.69
    anson
    -0.67
    indal
    -0.65
    POSITIVE LOGITS
     apartment
    1.13
     apartments
    1.06
     complexes
    1.03
     balcony
    1.02
     furniture
    0.94
     buildings
    0.94
     dwellings
    0.93
     rentals
    0.87
     balcon
    0.87
     rental
    0.80
    Activations Density 0.016%

    No Known Activations