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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. 1-RES-JB
    11. 2517
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    Explanations

    words related to consistency or stability

    oai_token-act-pair · gpt-3.5-turbo

    references to consistent or unchanging conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.73
    ean
    -0.73
    ported
    -0.71
    Hyper
    -0.71
    UL
    -0.71
    VL
    -0.71
    arks
    -0.71
    ridges
    -0.69
    Prof
    -0.69
    features
    -0.68
    POSITIVE LOGITS
     steady
    1.42
     Stead
    0.99
     pace
    0.97
     momentum
    0.85
     influx
    0.85
    GoldMagikarp
    0.83
    wagon
    0.81
     newcom
    0.80
     earthqu
    0.80
    accompan
    0.77
    Activations Density 0.007%

    No Known Activations