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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. 6-RES-JB
    11. 3809
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    Explanations

    ways or strategies to accomplish tasks or solve problems

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating methods or ways to achieve something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DAQ
    -0.79
    prem
    -0.72
    listed
    -0.71
    Merit
    -0.70
    ãĤ§
    -0.68
    faces
    -0.68
     Berk
    -0.66
    pict
    -0.66
     Responsibility
    -0.65
    ears
    -0.64
    POSITIVE LOGITS
     circumvent
    1.16
     incorporate
    1.13
     exploit
    1.10
     accommodate
    1.08
     minimize
    1.08
     divide
    1.07
     maximize
    1.07
     improve
    1.06
     mitigate
    1.03
     capitalize
    1.01
    Activations Density 0.107%

    No Known Activations