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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. 9333
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    Explanations

    references to furniture

    oai_token-act-pair · gpt-3.5-turbo

    references to furniture

    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
    ceed
    -0.86
    20439
    -0.86
    awar
    -0.79
    ilitary
    -0.72
    76561
    -0.71
    mp
    -0.68
    bern
    -0.65
    zee
    -0.65
    ²¾
    -0.64
    olics
    -0.64
    POSITIVE LOGITS
     furniture
    1.03
     decoration
    0.95
    iture
    0.93
     drawer
    0.85
     decorations
    0.82
     arrang
    0.79
     accessories
    0.75
     Crate
    0.74
     shelves
    0.71
     arrangements
    0.70
    Activations Density 0.036%

    No Known Activations