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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. 8-RES-JB
    11. 12459
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    Explanations

    phrases related to technology usage, such as sending photos, watching videos, and downloading music

    oai_token-act-pair · gpt-3.5-turbo

    terms related to digital media consumption and data usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exclusion
    -0.72
     capit
    -0.72
     underest
    -0.69
    iche
    -0.68
     Witch
    -0.67
     scapego
    -0.65
     Holland
    -0.64
     methodological
    -0.64
    jah
    -0.64
     CVE
    -0.64
    POSITIVE LOGITS
     functions
    0.90
     tasks
    0.85
    VIDIA
    0.83
    alogue
    0.83
     securely
    0.80
     smoothly
    0.80
     chores
    0.80
     stored
    0.80
     apps
    0.78
     aloud
    0.77
    Activations Density 0.729%

    No Known Activations