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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. 1-RES-JB
    6. 16673
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    Explanations

    words related to negative outcomes or events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to disastrous events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    trak
    -0.85
    etch
    -0.80
    bors
    -0.77
    ramid
    -0.77
    uni
    -0.75
    pel
    -0.75
    gat
    -0.75
    hung
    -0.74
    agos
    -0.72
    annis
    -0.72
    POSITIVE LOGITS
     havoc
    1.00
    itous
    0.98
    ãĥ¼ãĥĨ
    0.89
     disastrous
    0.85
     adolesc
    0.79
    ly
    0.78
    ously
    0.75
    ãĥ¥
    0.74
     catastrophic
    0.71
     consequences
    0.71
    Activations Density 0.009%

    No Known Activations