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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. 10068
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    Explanations

    ingredients and cooking instructions related to the use of pepper

    oai_token-act-pair · gpt-3.5-turbo

    references to pepper in various contexts

    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
    hematic
    -0.86
    ADRA
    -0.79
    rians
    -0.75
    EMS
    -0.73
    ģĸ
    -0.70
     Objective
    -0.69
     Fundamental
    -0.68
    HCR
    -0.68
    LD
    -0.68
    ndum
    -0.67
    POSITIVE LOGITS
    mint
    1.52
     pepper
    1.05
     peppers
    0.94
     flakes
    0.89
    icum
    0.86
    nic
    0.85
     spray
    0.84
    asant
    0.78
    bats
    0.78
    oni
    0.77
    Activations Density 0.010%

    No Known Activations