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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. 3-RES-JB
    11. 23803
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    Explanations

    words related to residential areas or buildings

    oai_token-act-pair · gpt-3.5-turbo

    content related to residential development and housing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.89
    xon
    -0.87
    erity
    -0.80
    arak
    -0.79
    xtap
    -0.77
    gans
    -0.74
    urai
    -0.73
     Canaver
    -0.73
    heimer
    -0.71
    bsite
    -0.71
    POSITIVE LOGITS
     dwellings
    1.13
     residential
    1.04
     buildings
    0.94
     dwelling
    0.90
     Residential
    0.88
     tenancy
    0.88
     occupancy
    0.87
     apartments
    0.84
     residences
    0.83
     housing
    0.83
    Activations Density 0.008%

    No Known Activations