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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    the word "pepper"

    oai_token-act-pair · gpt-3.5-turbo

    references to pepper, particularly in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hematic
    -0.88
    ADRA
    -0.82
    ģĸ
    -0.77
    EMS
    -0.75
    HCR
    -0.70
     Fundamental
    -0.70
    LD
    -0.68
    Ctrl
    -0.67
    rians
    -0.67
    ALK
    -0.67
    POSITIVE LOGITS
    mint
    1.51
     pepper
    1.04
     peppers
    0.89
    cake
    0.89
    icum
    0.88
     flakes
    0.87
     sauces
    0.84
    ious
    0.82
    seed
    0.81
    nic
    0.80
    Activations Density 0.008%

    No Known Activations