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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. 6-RES-JB
    11. 2577
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    Explanations

    references to different physical locations or entities, particularly related to apartments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific apartment numbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.95
    vous
    -0.87
    ²¾
    -0.86
    ¶ħ
    -0.85
    nir
    -0.81
    ा
    -0.81
    à¥
    -0.80
    xon
    -0.77
    xtap
    -0.76
    xual
    -0.74
    POSITIVE LOGITS
     complexes
    1.06
     apartment
    1.05
     apartments
    0.99
     balcony
    0.99
     dwellings
    0.91
     Dwell
    0.91
     buildings
    0.88
     rentals
    0.88
     balcon
    0.87
     furniture
    0.86
    Activations Density 0.019%

    No Known Activations