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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10847
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    Explanations

    keywords related to computer programming, file operations, data frames, and technical instructions

    oai_token-act-pair · gpt-3.5-turbo

    references to military ranks and organizational structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Instr
    -0.74
    SPONSORED
    -0.68
     lest
    -0.64
     explan
    -0.62
     undermin
    -0.61
    efficients
    -0.61
     vulner
    -0.60
     disadvant
    -0.59
    galitarian
    -0.59
    assies
    -0.59
    POSITIVE LOGITS
    \":
    0.70
    PDATED
    0.64
     Version
    0.60
    /-
    0.59
    )-
    0.59
    !--
    0.59
    ==
    0.58
    ãĢij
    0.58
     scanner
    0.56
    )/
    0.56
    Activations Density 0.091%

    No Known Activations