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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. 3-RES-JB
    11. 23276
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    INDEX
    Explanations

    phrases related to employment and the workplace, particularly focusing on workers

    oai_token-act-pair · gpt-3.5-turbo

    references to workers and employees across various contexts

    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
    cale
    -1.11
    mith
    -1.08
    uits
    -1.08
    aurus
    -1.08
    hip
    -1.08
    avers
    -1.06
    pace
    -1.05
    chool
    -1.05
    ensical
    -1.04
    ources
    -1.03
    POSITIVE LOGITS
    holder
    0.80
    Chip
    0.69
    stown
    0.69
    Bey
    0.69
    ãĤ¶
    0.66
     Worker
    0.66
    ATH
    0.66
    bilt
    0.66
     Hein
    0.66
    lier
    0.65
    Activations Density 0.113%

    No Known Activations