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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 12427
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    Explanations

    words related to negative emotions or situations, specifically those that evoke a sense of distress or discomfort

    oai_token-act-pair · gpt-3.5-turbo

    words associated with feelings of distress or discomfort

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.88
    swick
    -0.73
    ton
    -0.72
    tes
    -0.72
    fter
    -0.70
    deen
    -0.69
    LOAD
    -0.69
     procedural
    -0.68
    glers
    -0.67
    FIELD
    -0.67
    POSITIVE LOGITS
    anced
    1.26
    ribut
    1.16
    illery
    1.07
    ancing
    1.05
    ributes
    1.04
    enfranch
    1.04
    astrous
    0.98
    aste
    0.97
    illation
    0.97
    ressing
    0.90
    Activations Density 0.010%

    No Known Activations