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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. 4-RES-JB
    11. 4162
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    INDEX
    Explanations

    differences in comparison, specifically focusing on what one group has while another doesn't

    oai_token-act-pair · gpt-3.5-turbo

    the word "while" in various contexts

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

    No Comments

    Negative Logits
    hack
    -0.92
    aer
    -0.80
    iotic
    -0.78
    enter
    -0.78
    ogen
    -0.77
    iot
    -0.76
    entry
    -0.75
    iosyncr
    -0.74
    atter
    -0.74
    Bas
    -0.73
    POSITIVE LOGITS
     browsing
    0.98
     retaining
    0.86
     maintaining
    0.85
     researching
    0.84
     attending
    0.84
     acknowledging
    0.83
     simultaneously
    0.80
     touring
    0.79
     noting
    0.79
     ignoring
    0.77
    Activations Density 0.051%

    No Known Activations