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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. 20610
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    Explanations

    phrases related to tracking, studying, managing, and reviewing various aspects, such as cells, failure, deployments, internet content, and educational success

    oai_token-act-pair · gpt-3.5-turbo

    terms related to biological tracking and analysis

    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
     Canaver
    -0.72
    atform
    -0.71
    bern
    -0.70
     Patreon
    -0.62
    ocese
    -0.60
    Catholic
    -0.60
    çīĪ
    -0.60
    krit
    -0.60
    ngth
    -0.58
    Pope
    -0.58
    POSITIVE LOGITS
     interact
    0.77
     accordingly
    0.72
     patterns
    0.70
     vibrations
    0.70
     incoming
    0.70
     stimuli
    0.70
     milliseconds
    0.70
     behaviors
    0.70
     vibration
    0.69
     respectively
    0.68
    Activations Density 0.737%

    No Known Activations