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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. 4-RES-JB
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    Explanations

    age references in years followed by descriptions of individuals

    oai_token-act-pair · gpt-3.5-turbo

    quantitative age descriptors associated with individuals

    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
     Prometheus
    -0.76
     Cassidy
    -0.75
     wedd
    -0.75
     Dickinson
    -0.74
     Kafka
    -0.70
    achus
    -0.69
    ulhu
    -0.68
     Narc
    -0.67
     vex
    -0.65
     Eliot
    -0.64
    POSITIVE LOGITS
    year
    1.17
    degree
    1.15
    sized
    1.08
    hour
    1.05
    plus
    1.05
    minute
    1.04
    inch
    1.04
    legged
    1.03
    sided
    1.01
    percent
    1.01
    Activations Density 0.098%

    No Known Activations