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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. 7-RES-JB
    6. 2363
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    Explanations

    quotations by individuals speaking about various topics

    oai_token-act-pair · gpt-3.5-turbo

    quotes and statements made by individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     popul
    -0.76
     Feminist
    -0.74
     NGOs
    -0.73
     disinformation
    -0.71
     clo
    -0.69
     scams
    -0.69
    oros
    -0.67
     marginal
    -0.66
     extremist
    -0.66
     confisc
    -0.66
    POSITIVE LOGITS
     teammate
    1.18
    Coach
    1.17
     Packers
    1.04
    NBA
    1.04
     coach
    1.03
     teammates
    1.02
     Coach
    0.99
    ichick
    0.97
    NFL
    0.97
    Players
    0.97
    Activations Density 0.228%

    No Known Activations