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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. 4-RES-JB
    11. 248
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    Explanations

    specific consumer products mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of products

    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
    âĸ¬
    -0.79
    CLASSIFIED
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    ITED
    -0.68
    IELD
    -0.67
    roe
    -0.64
    ODE
    -0.63
     [|
    -0.62
    otos
    -0.62
    OUT
    -0.61
     Stud
    -0.60
    POSITIVE LOGITS
     products
    0.96
     packaging
    0.92
    Products
    0.87
    ively
    0.85
    isine
    0.83
    umers
    0.81
    afety
    0.81
    andise
    0.81
    uria
    0.80
    kit
    0.79
    Activations Density 0.021%

    No Known Activations