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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 11476
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    Explanations

    phrases related to guidance and leadership

    oai_token-act-pair · gpt-3.5-turbo

    words related to identification and categorization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nova
    -0.62
    js
    -0.61
    ãĥĥãĥĪ
    -0.59
    acity
    -0.58
    ga
    -0.58
    addons
    -0.58
    ks
    -0.58
    jet
    -0.57
     ko
    -0.57
     sax
    -0.56
    POSITIVE LOGITS
    ING
    1.52
    ULAR
    1.42
    ER
    1.40
    IES
    1.40
    ED
    1.39
    ANT
    1.37
    IENT
    1.36
    NER
    1.35
    ERS
    1.35
    EST
    1.35
    Activations Density 0.162%

    No Known Activations