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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 645
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    Explanations

    numbers, especially those related to quantitative figures and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and references to quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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    -0.71
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    atown
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    ktop
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    -0.66
    mble
    -0.65
    roup
    -0.65
    £ı
    -0.63
    ivation
    -0.62
    POSITIVE LOGITS
     bucks
    1.26
     cents
    1.20
     billion
    1.15
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    1.11
     goddamn
    1.09
     seconds
    1.07
     dudes
    1.07
     million
    1.05
     years
    1.01
     peas
    0.99
    Activations Density 0.219%

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