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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. 8-RES-JB
    6. 6600
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    Explanations

    phrases or words related to decisions or actions to proceed with a plan or activity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a directive or an authorization related to approval or permissions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nicarag
    -0.70
     Arabian
    -0.67
     EntityItem
    -0.66
    ciating
    -0.65
     eyebrow
    -0.63
     Vaughn
    -0.62
     Fiscal
    -0.59
     PLoS
    -0.58
    HCR
    -0.58
     Feder
    -0.56
    POSITIVE LOGITS
    ahead
    1.14
    around
    1.14
    through
    1.05
    back
    1.05
    away
    1.05
    cart
    1.03
    home
    0.99
    along
    0.96
    out
    0.96
    cation
    0.94
    Activations Density 0.056%

    No Known Activations