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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. 11-RES-JB
    11. 6239
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    Explanations

    technical terms related to manufacturing, processing, and testing

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles related to various activities and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arag
    -0.87
    vier
    -0.80
    ifer
    -0.80
    lvl
    -0.79
    Ĥİ
    -0.76
    seeing
    -0.74
    SIGN
    -0.74
    endant
    -0.73
    toggle
    -0.71
    get
    -0.70
    POSITIVE LOGITS
    redients
    1.00
     techniques
    0.99
     purposes
    0.96
     oneself
    0.92
     methods
    0.90
     aids
    0.86
     technologies
    0.85
     behaviours
    0.84
     processes
    0.84
     procedures
    0.84
    Activations Density 0.351%

    No Known Activations