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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. 4415
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    Explanations

    references to urban environments and street-related concepts

    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
    merce
    -0.87
    emort
    -0.84
    xit
    -0.78
    opsis
    -0.71
    ascript
    -0.70
    emonic
    -0.68
    igham
    -0.68
    essee
    -0.67
    vironment
    -0.66
    oÄŁ
    -0.64
    POSITIVE LOGITS
    cars
    1.18
    lights
    1.11
    light
    0.95
    walker
    0.94
    roller
    0.91
    fighter
    0.90
    car
    0.88
    wear
    0.87
    walk
    0.84
     corner
    0.81
    Activations Density 0.044%

    No Known Activations