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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. 6538
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    INDEX
    Explanations

    connections within texts, such as phrases related to donors, medicine, or technology

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to health and medical supply issues

    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
     Mandatory
    -0.55
     (?,
    -0.52
    RPG
    -0.51
    framework
    -0.51
    Picture
    -0.50
    undrum
    -0.49
     Formula
    -0.49
     Proposition
    -0.49
     Bengal
    -0.48
     Pens
    -0.48
    POSITIVE LOGITS
    ]."
    0.75
     respectively
    0.71
    )."
    0.71
    ).[
    0.69
     thereafter
    0.67
     thereof
    0.66
     exceptions
    0.63
    !).
    0.62
     thereto
    0.62
    ĪĴ
    0.60
    Activations Density 5.142%

    No Known Activations