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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. 7823
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    Explanations

    keywords related to the interior of places or objects

    oai_token-act-pair · gpt-3.5-turbo

    references to interior spaces

    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
    Not in Any Lists

    No Comments

    Negative Logits
    fortune
    -0.89
    tle
    -0.82
    arov
    -0.80
    thood
    -0.80
    unin
    -0.79
    nir
    -0.77
    veyard
    -0.75
    astically
    -0.74
    andum
    -0.74
    SHIP
    -0.73
    POSITIVE LOGITS
     interior
    0.99
     decoration
    0.89
     renovations
    0.87
     ministry
    0.87
     decor
    0.85
     workings
    0.84
     seams
    0.84
     renovation
    0.80
     Designer
    0.80
    ITY
    0.79
    Activations Density 0.014%

    No Known Activations