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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. 7-RES-JB
    11. 5101
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    INDEX
    Explanations

    phrases related to public appearances or confrontations

    oai_token-act-pair · gpt-3.5-turbo

    references to public appearances and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     largeDownload
    -0.81
    %%%%
    -0.74
     overboard
    -0.73
    Course
    -0.73
    een
    -0.72
    chu
    -0.66
    Spread
    -0.65
    berman
    -0.62
     newsletters
    -0.62
    played
    -0.61
    POSITIVE LOGITS
     fireplace
    1.00
    orescent
    0.91
     altar
    0.88
     backdrop
    0.85
     door
    0.84
     camera
    0.79
     throne
    0.79
     cameras
    0.78
     doorway
    0.78
     courthouse
    0.77
    Activations Density 0.181%

    No Known Activations