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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. 9-RES-JB
    6. 928
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    Explanations

    terms related to activation processes and activities

    oai_token-act-pair · gpt-3.5-turbo

    words related to activism and active engagement in social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esan
    -0.69
    lli
    -0.64
    drivers
    -0.64
    oglu
    -0.64
    yah
    -0.64
    lihood
    -0.61
    Lay
    -0.59
    fare
    -0.59
    forward
    -0.59
    lings
    -0.58
    POSITIVE LOGITS
    activated
    0.85
     charcoal
    0.83
    aline
    0.78
    ãĤ¿
    0.76
    nect
    0.74
    ãĤ¯
    0.73
    aze
    0.72
    ISTER
    0.72
    uated
    0.72
    ãĤ±
    0.71
    Activations Density 0.070%

    No Known Activations