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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. 3279
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    Explanations

    phrases indicating a comparison between different entities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases referencing comparison and analogy

    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
    aths
    -0.70
    Textures
    -0.61
    orously
    -0.60
    zos
    -0.59
    ãĥĥ
    -0.59
     Doors
    -0.57
    Numbers
    -0.57
     Hours
    -0.55
    tick
    -0.55
    ++++++++++++++++
    -0.54
    POSITIVE LOGITS
     pertaining
    1.00
     afforded
    0.99
     contained
    0.99
     presented
    0.97
     seen
    0.96
     outlined
    0.96
     dictated
    0.95
     depicted
    0.95
     generated
    0.95
     arising
    0.94
    Activations Density 0.086%

    No Known Activations