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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. 6-RES-JB
    11. 18502
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    Explanations

    phrases related to various occupations or activities

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts and frequencies

    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
    ONSORED
    -0.87
    KEN
    -0.78
    agle
    -0.73
    ente
    -0.69
    aste
    -0.69
    ÃŃs
    -0.69
    iment
    -0.68
    west
    -0.68
    ISON
    -0.68
    ãĤ´
    -0.67
    POSITIVE LOGITS
     assorted
    0.99
     warranties
    0.84
     wallets
    0.83
     necks
    0.83
     cabinets
    0.82
    markets
    0.81
     histories
    0.81
     notebooks
    0.78
     portfolios
    0.78
     snacks
    0.78
    Activations Density 0.346%

    No Known Activations