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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. 3-RES-JB
    6. 2320
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    INDEX
    Explanations

    names of companies or specific products

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and technical terms related to specific subjects, such as technology and health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     âĢº
    -0.52
     ..........
    -0.50
    ----
    -0.47
    taboola
    -0.46
      
    -0.45
     ......
    -0.45
     Gutierrez
    -0.42
     MUS
    -0.42
    Companies
    -0.41
     ...
    -0.40
    POSITIVE LOGITS
     rul
    0.50
    ultimate
    0.47
    ailability
    0.47
    gins
    0.47
    senal
    0.45
    ahime
    0.44
    ULE
    0.43
    roller
    0.43
    uterte
    0.43
    imore
    0.42
    Activations Density 1.917%

    No Known Activations