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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 2974
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    INDEX
    Explanations

    personal pronouns and verbs related to action or development

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or notable figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Secondly
    -0.92
    Furthermore
    -0.90
    Additionally
    -0.89
    sequently
    -0.78
    Moreover
    -0.78
    Materials
    -0.76
    ONSORED
    -0.75
    >>>
    -0.71
     thereafter
    -0.71
     Secondly
    -0.70
    POSITIVE LOGITS
     buzzing
    0.86
     rejoice
    0.86
     awfully
    0.84
     famously
    0.74
     clich
    0.74
     sexy
    0.74
     understatement
    0.73
     thrilled
    0.73
     haunted
    0.72
     love
    0.72
    Activations Density 0.552%

    No Known Activations