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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. 0-RES-JB
    11. 11867
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    Explanations

    commands or instructions followed by individuals

    oai_token-act-pair · gpt-3.5-turbo

    commands or directives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pes
    -0.72
     capitals
    -0.64
     mega
    -0.64
     density
    -0.62
    INGTON
    -0.62
     fragmentation
    -0.62
     Rising
    -0.61
     Coalition
    -0.61
    punk
    -0.59
     Coverage
    -0.59
    POSITIVE LOGITS
     instruct
    3.41
     instructed
    2.68
     Instruct
    2.08
     instruction
    1.60
    Instruct
    1.50
     Instruction
    1.42
     instructional
    1.27
     instructions
    1.20
     admon
    1.14
     directs
    1.08
    Activations Density 0.017%

    No Known Activations