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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 14306
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    Explanations

    phrases related to a specific type of product, possibly a car model named "Fiber Fab Avenger."

    oai_token-act-pair · gpt-3.5-turbo

    structural elements or forms in written content

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

    No Comments

    Negative Logits
    hement
    -0.85
     submar
    -0.70
    terday
    -0.66
    nesday
    -0.65
     destro
    -0.63
    ©¶æ
    -0.60
     blindly
    -0.60
    krit
    -0.60
    bda
    -0.59
     conclud
    -0.59
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.82
    ================================================================
    0.80
    âĿ
    0.79
    Posted
    0.79
     largeDownload
    0.79
    --------------------------------------------------------
    0.78
    STER
    0.76
    Product
    0.76
    --------------------------------
    0.76
    Trivia
    0.76
    Activations Density 0.233%

    No Known Activations