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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. 9-RES-JB
    11. 13681
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    Explanations

    instructions or steps related to ensuring connections or correct setups

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to safety and compliance in processes or systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ieties
    -0.71
     Worse
    -0.69
     disgr
    -0.67
     woes
    -0.67
    NetMessage
    -0.67
    asar
    -0.66
    ungle
    -0.66
    ury
    -0.66
    ourning
    -0.65
     Warfare
    -0.64
    POSITIVE LOGITS
     sufficient
    1.23
     sufficiently
    1.23
     adequate
    1.16
     correctly
    1.10
     properly
    1.09
     adequately
    1.09
     accurate
    1.04
     consistent
    1.04
     reasonably
    1.02
     reasonable
    1.01
    Activations Density 0.807%

    No Known Activations