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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. 1-RES-JB
    11. 995
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    Explanations

    phrases related to the process of creating something

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases starting with "Making," indicating a focus on the creation or production of various things

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pent
    -0.72
    alian
    -0.65
    udic
    -0.65
    istration
    -0.64
    çĦ
    -0.62
     renewable
    -0.62
     board
    -0.61
     hide
    -0.60
    itan
    -0.60
     tv
    -0.59
    POSITIVE LOGITS
     Gets
    0.97
    SourceFile
    0.86
     Them
    0.86
     Costs
    0.85
     Factors
    0.84
     Thoughts
    0.84
     Towards
    0.83
     Locations
    0.83
     Basics
    0.82
    Making
    0.82
    Activations Density 0.050%

    No Known Activations