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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. 12360
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    INDEX
    Explanations

    phrases that are perceived as significant or outstanding

    oai_token-act-pair · gpt-3.5-turbo

    references to significant or impactful moments

    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
    ©¶æ
    -0.85
    sterdam
    -0.84
    chens
    -0.74
    raged
    -0.72
    chen
    -0.69
    hop
    -0.67
    ource
    -0.66
    olen
    -0.65
    lying
    -0.64
     uninsured
    -0.64
    POSITIVE LOGITS
     memorable
    1.07
     moments
    0.90
     unforgettable
    0.88
     memories
    0.88
     remem
    0.87
    theless
    0.76
    lihood
    0.75
    Story
    0.75
     highs
    0.75
     experiences
    0.74
    Activations Density 0.012%

    No Known Activations