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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. 3-RES-JB
    11. 13112
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    INDEX
    Explanations

    phrases emphasizing extremity or intensity

    oai_token-act-pair · gpt-3.5-turbo

    the term "very" used in various contexts to emphasize intensity or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olor
    -0.81
    sburgh
    -0.77
    adelphia
    -0.74
    onis
    -0.73
    osal
    -0.71
    aneers
    -0.69
    ourses
    -0.69
    orno
    -0.65
    esan
    -0.64
    ando
    -0.64
    POSITIVE LOGITS
     rare
    0.81
     informative
    0.79
     different
    0.77
     important
    0.75
     unlikely
    0.74
     similar
    0.72
     rarely
    0.72
     seldom
    0.72
     basic
    0.70
     unusual
    0.70
    Activations Density 0.065%

    No Known Activations