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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. 2-RES-JB
    11. 6396
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    Explanations

    phrases indicating an increase or decrease in something over time

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aval
    -0.81
     Defenders
    -0.78
     Origin
    -0.69
     Robin
    -0.68
     prisoner
    -0.66
     straw
    -0.65
     Hawaiian
    -0.65
     Hydra
    -0.63
     Wagner
    -0.62
     Gladiator
    -0.61
    POSITIVE LOGITS
    asing
    1.11
    mental
    1.09
    mented
    1.04
    ment
    1.02
    ments
    1.00
    pton
    0.99
     decre
    0.90
    ased
    0.90
    ufact
    0.86
    uls
    0.83
    Activations Density 0.016%

    No Known Activations