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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. 8-RES-JB
    11. 162
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    Explanations

    percentage values mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of the word "the" and related quantitative data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.80
    ful
    -0.78
    rade
    -0.69
    haps
    -0.66
    BIL
    -0.65
    another
    -0.62
    æ³
    -0.61
    aris
    -0.60
    oma
    -0.60
    rant
    -0.60
    POSITIVE LOGITS
     populace
    1.13
     population
    1.05
     electorate
    1.04
     nation
    1.04
     country
    1.00
     world
    0.92
     remainder
    0.90
     largest
    0.86
     smallest
    0.85
     equation
    0.84
    Activations Density 0.108%

    No Known Activations