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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. 10-RES-JB
    11. 4440
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    Explanations

    references to parking lots

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.85
    icz
    -0.85
    Downloadha
    -0.84
    theless
    -0.81
    isin
    -0.76
    vous
    -0.75
    yip
    -0.72
    gui
    -0.71
    flix
    -0.70
    sha
    -0.69
    POSITIVE LOGITS
     garage
    1.21
    lot
    1.06
     Garage
    1.03
     Lot
    1.00
     spaces
    0.98
     lot
    0.98
     parking
    0.96
     meters
    0.96
     attendants
    0.93
     brake
    0.91
    Activations Density 0.038%

    No Known Activations