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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. 24039
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    Explanations

    phrases related to capturing events on video

    oai_token-act-pair · gpt-3.5-turbo

    instances of events being captured on video or surveillance

    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
    egg
    -0.78
     Pricing
    -0.78
    gebra
    -0.72
     redesign
    -0.71
    steen
    -0.70
    hesda
    -0.69
    heon
    -0.69
     pricing
    -0.69
    ategories
    -0.67
    peat
    -0.66
    POSITIVE LOGITS
     cellphone
    1.26
     CCTV
    1.26
     webcam
    1.14
     television
    1.08
     loudspe
    1.07
     cameras
    1.06
     camera
    1.05
     radio
    1.04
     microphones
    1.04
     headphones
    1.03
    Activations Density 0.372%

    No Known Activations