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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
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    Explanations

    references to the word "pepper"

    oai_token-act-pair · gpt-3.5-turbo

    references to pepper spray

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    hematic
    -0.89
    HCR
    -0.77
    rians
    -0.77
    EMS
    -0.77
    ģĸ
    -0.71
    ALK
    -0.71
    sonian
    -0.70
     Citizens
    -0.70
     Directors
    -0.70
     Objective
    -0.68
    POSITIVE LOGITS
    mint
    1.45
     pepper
    1.11
     peppers
    1.03
    icum
    0.89
     flakes
    0.85
    iously
    0.83
    ious
    0.79
    cake
    0.79
     flares
    0.79
    seed
    0.79
    Activations Density 0.009%

    No Known Activations