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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. 11307
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    Explanations

    terms related to technology and software development, specifically regarding system configuration and user location tracking for search functionalities

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to idealized work environments or systems

    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
    soType
    -0.70
     Concern
    -0.69
    fml
    -0.66
    Recommend
    -0.66
     Beir
    -0.64
    failed
    -0.61
    lie
    -0.60
    crit
    -0.59
     failings
    -0.59
     fallacy
    -0.59
    POSITIVE LOGITS
     seamlessly
    1.11
     access
    0.96
     instantly
    0.96
     unlimited
    0.95
     limitless
    0.90
     effortlessly
    0.90
     instantaneous
    0.90
     seamless
    0.84
     hassle
    0.82
     centralized
    0.81
    Activations Density 1.211%

    No Known Activations