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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. 6016
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    Explanations

    sentences related to news articles reporting events or facts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to aftermaths or consequences

    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
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    Negative Logits
    egal
    -0.90
    foundland
    -0.82
    entle
    -0.81
     blacklist
    -0.74
    idious
    -0.73
    alien
    -0.73
    mbuds
    -0.72
    anmar
    -0.70
     rebell
    -0.69
    icester
    -0.69
    POSITIVE LOGITS
     VIDEOS
    1.01
    CLOSE
    0.83
     SPACE
    0.82
     Caption
    0.81
     Video
    0.80
     Buzz
    0.79
     Spectrum
    0.77
    veland
    0.77
     NETWORK
    0.75
     Transcript
    0.74
    Activations Density 0.073%

    No Known Activations