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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. 2-RES-JB
    11. 18915
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    Explanations

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    the names of key individuals mentioned in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eering
    -0.88
    wich
    -0.83
    undo
    -0.74
    entin
    -0.74
    obi
    -0.73
    aries
    -0.72
    agos
    -0.68
    office
    -0.68
    pers
    -0.68
    lining
    -0.67
    POSITIVE LOGITS
    vu
    0.89
    è¦ļéĨĴ
    0.85
    yip
    0.81
     Borders
    0.80
    kef
    0.80
     sidx
    0.74
    isy
    0.74
    _-
    0.73
    xual
    0.73
    enged
    0.73
    Activations Density 0.025%

    No Known Activations