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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. 6-RES-JB
    11. 9757
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    Explanations

    phrases starting with "Our" that describe different aspects of society or research

    oai_token-act-pair · gpt-3.5-turbo

    instances of empty text or lack of content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ´ãĤ¡
    -0.71
    Ò
    -0.70
    ',"
    -0.68
    ensis
    -0.67
    802
    -0.66
    Ïī
    -0.66
    .","
    -0.65
    xxx
    -0.65
    emp
    -0.65
    Ú
    -0.65
    POSITIVE LOGITS
    anmar
    1.15
    selves
    1.15
    self
    1.14
     inability
    1.07
    stery
    1.07
     biggest
    0.98
     goal
    0.97
     aim
    0.95
     youngest
    0.94
     favourite
    0.92
    Activations Density 0.104%

    No Known Activations