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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. 11-RES-JB
    11. 2215
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    Explanations

    phrases related to implementing or enacting plans or regulations

    oai_token-act-pair · gpt-3.5-turbo

    actions related to establishing or implementing plans and procedures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çĶŁ
    -0.79
    lez
    -0.72
    á½
    -0.71
    eem
    -0.71
    Enjoy
    -0.68
    ilty
    -0.67
     Bros
    -0.67
    zees
    -0.66
    fuck
    -0.66
    acas
    -0.65
    POSITIVE LOGITS
     stricter
    1.32
     guidelines
    1.32
     measures
    1.19
     stringent
    1.16
     mandatory
    1.16
     incentives
    1.15
     tougher
    1.14
     safeguards
    1.13
     regulations
    1.11
     advis
    1.10
    Activations Density 0.255%

    No Known Activations