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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
    11. 15399
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    Explanations

    ingredient addition steps in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    cooking-related instructions

    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
     Wage
    -0.77
    naire
    -0.72
     Uniform
    -0.68
     Siem
    -0.67
    Merit
    -0.64
    Corp
    -0.63
     Fore
    -0.62
    walking
    -0.62
     Pog
    -0.62
    DEM
    -0.62
    POSITIVE LOGITS
    itionally
    1.08
    endum
    1.00
     ingred
    0.91
    ition
    0.89
    itives
    0.86
     inval
    0.85
    resso
    0.84
     mashed
    0.83
     antioxidant
    0.79
    ohyd
    0.79
    Activations Density 0.027%

    No Known Activations