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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. 2-RES-JB
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    Explanations

    phrases related to buildings or structures, specifically houses or other housing-related terms

    oai_token-act-pair · gpt-3.5-turbo

    words related to houses or housing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     magnitude
    -0.70
    ellen
    -0.66
    schild
    -0.66
     boulder
    -0.63
    osta
    -0.62
    izable
    -0.62
    icum
    -0.61
    icial
    -0.61
     resil
    -0.61
     borderline
    -0.61
    POSITIVE LOGITS
    ouse
    1.29
    xual
    1.00
    manship
    0.99
    oused
    0.91
    ktop
    0.90
    holders
    0.85
    ousing
    0.80
    mble
    0.78
    pants
    0.78
    meat
    0.77
    Activations Density 0.013%

    No Known Activations