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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. 10-RES-JB
    11. 5235
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    INDEX
    Explanations

    proper nouns or entities that are identified or nominated

    oai_token-act-pair · gpt-3.5-turbo

    references to naming or identifying entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.78
    cation
    -0.74
    jp
    -0.65
     Advertisement
    -0.63
    fax
    -0.62
    sonian
    -0.61
    ÃĽÃĽ
    -0.61
    nings
    -0.61
    frac
    -0.60
    MAP
    -0.60
    POSITIVE LOGITS
     names
    0.97
     personalities
    0.90
     finalists
    0.81
     him
    0.77
    phas
    0.74
     blame
    0.74
     them
    0.73
     several
    0.71
     dozens
    0.71
     five
    0.71
    Activations Density 0.154%

    No Known Activations