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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 9024
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    Explanations

    instructions or steps in a process

    oai_token-act-pair · gpt-3.5-turbo

    instructions or suggestions related to planning and organizing actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     )]
    -0.78
    CVE
    -0.69
    Players
    -0.61
    Streamer
    -0.59
    translation
    -0.59
    judicial
    -0.58
     ][
    -0.56
    aughs
    -0.56
    "]
    -0.55
     Reconstruction
    -0.54
    POSITIVE LOGITS
     yourself
    2.05
     your
    1.76
     yourselves
    1.73
     YOUR
    1.44
     Yourself
    1.42
    your
    1.38
    Your
    1.23
     Your
    1.17
     yours
    1.16
     oneself
    0.98
    Activations Density 0.775%

    No Known Activations