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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. 4104
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    Explanations

    texts related to media playback with an emphasis on captions

    oai_token-act-pair · gpt-3.5-turbo

    references to media playback

    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
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    Negative Logits
    ortium
    -0.81
    arse
    -0.78
    ivan
    -0.75
    urus
    -0.70
    nets
    -0.69
    atra
    -0.68
    ato
    -0.68
    lia
    -0.68
    naire
    -0.67
    ority
    -0.65
    POSITIVE LOGITS
     playback
    0.96
     Thumbnails
    0.91
    CLASSIFIED
    0.82
    ãĤ´
    0.78
    HAEL
    0.77
    âĹ¼
    0.75
     WATCH
    0.72
    GROUND
    0.72
     [&
    0.72
     Annotations
    0.71
    Activations Density 0.008%

    No Known Activations