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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. 2-RES-JB
    6. 2832
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    Explanations

    phrases and statements related to the position or viewpoint on a particular issue

    oai_token-act-pair · gpt-3.5-turbo

    references to positions or opinions on issues

    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
    cing
    -0.83
    Interstitial
    -0.81
    NetMessage
    -0.77
    ined
    -0.70
    sample
    -0.69
     Sparkle
    -0.67
    Grant
    -0.66
    nova
    -0.65
    apy
    -0.65
    esters
    -0.64
    POSITIVE LOGITS
     stance
    1.33
     stances
    1.23
    yip
    1.00
     positions
    0.83
    olicy
    0.83
     posture
    0.82
     position
    0.80
     reversal
    0.79
     guiActiveUn
    0.78
    terday
    0.74
    Activations Density 0.010%

    No Known Activations