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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. 1-RES-JB
    11. 7263
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    Explanations

    references to fictional content or settings

    oai_token-act-pair · gpt-3.5-turbo

    references to fictional narratives or settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ni
    -0.76
    VL
    -0.71
    Ag
    -0.68
    hammad
    -0.68
    VEN
    -0.68
    cler
    -0.68
    KI
    -0.67
    VK
    -0.67
    ktop
    -0.66
    utils
    -0.65
    POSITIVE LOGITS
    acters
    1.20
     fictional
    1.16
    ãĤ¼ãĤ¦ãĤ¹
    1.00
    rities
    0.95
     recre
    0.92
    istically
    0.91
    ãĤ©
    0.90
     fict
    0.86
     fictitious
    0.85
     universes
    0.85
    Activations Density 0.013%

    No Known Activations