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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. 1811
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    INDEX
    Explanations

    numbers and quantities

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to populations and demographics

    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
     treadmill
    -0.75
     grounding
    -0.75
     remedies
    -0.71
     ozone
    -0.71
     interference
    -0.70
     brake
    -0.67
     smoot
    -0.67
     whiff
    -0.67
     shader
    -0.67
     glide
    -0.66
    POSITIVE LOGITS
    population
    1.19
    Population
    1.07
    number
    1.00
    count
    0.97
     dwind
    0.95
     manpower
    0.95
     numbering
    0.94
    NUM
    0.93
    Numbers
    0.89
     population
    0.88
    Activations Density 0.719%

    No Known Activations