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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. 4607
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    Explanations

    phrases related to activities or events happening in the background or not in the spotlight

    oai_token-act-pair · gpt-3.5-turbo

    references to behind-the-scenes activities or occurrences

    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
    apa
    -0.75
    ipl
    -0.74
    achev
    -0.73
    heit
    -0.70
    ĵĺ
    -0.69
    amn
    -0.68
    izo
    -0.67
    gently
    -0.66
    gee
    -0.63
    BUG
    -0.63
    POSITIVE LOGITS
     scenes
    1.24
    scenes
    1.16
     Scenes
    1.11
    heet
    0.91
    scene
    0.88
    hift
    0.82
     depict
    0.78
     seams
    0.78
    hooting
    0.77
     depicting
    0.76
    Activations Density 0.009%

    No Known Activations