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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. 9-RES-JB
    11. 1719
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    Explanations

    phrases or words related to a physical location - specifically, a garage

    oai_token-act-pair · gpt-3.5-turbo

    references to garages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivia
    -0.87
    uality
    -0.86
    andum
    -0.85
    irection
    -0.82
    utan
    -0.77
    rencies
    -0.76
    ivas
    -0.76
    ulus
    -0.75
    urrencies
    -0.73
    thood
    -0.73
    POSITIVE LOGITS
     door
    1.19
     attic
    1.08
     doors
    1.08
     renovation
    0.92
     patio
    0.91
     entrance
    0.90
     garage
    0.90
     Yard
    0.89
     bedroom
    0.89
     closet
    0.89
    Activations Density 0.097%

    No Known Activations