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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    references to museums

    oai_token-act-pair · gpt-3.5-turbo

    references to museums

    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
    nir
    -0.82
    comes
    -0.65
     modem
    -0.62
    LAN
    -0.61
    iated
    -0.61
    Leary
    -0.60
    laugh
    -0.60
     Wast
    -0.60
    ornia
    -0.59
    rising
    -0.59
    POSITIVE LOGITS
    ĸļ
    1.08
    useum
    1.01
     curator
    0.96
     museum
    0.90
    arium
    0.85
     exhibits
    0.85
     museums
    0.83
     galleries
    0.81
     exhibition
    0.81
     exhibit
    0.80
    Activations Density 0.020%

    No Known Activations