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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. 4764
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    Explanations

    references to parking lots or parking-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to parking

    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
    Downloadha
    -1.06
    xual
    -0.87
    gui
    -0.77
    vous
    -0.77
     Flavoring
    -0.75
    icz
    -0.74
    vernment
    -0.74
    thodox
    -0.72
    sonian
    -0.70
    akuya
    -0.69
    POSITIVE LOGITS
     garage
    1.01
     parking
    0.98
    lot
    0.89
     attendants
    0.89
    conservancy
    0.88
     brake
    0.88
     spaces
    0.88
     kios
    0.83
     Parking
    0.82
     Garage
    0.78
    Activations Density 0.010%

    No Known Activations