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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. 596
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    Explanations

    words related to instructions or commands

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to ratings and assessments

    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
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    No Comments

    Negative Logits
    arching
    -0.66
    theless
    -0.64
     brisk
    -0.58
    stretched
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    ás
    -0.57
    Ô
    -0.57
    ãĥ£
    -0.56
    ulner
    -0.56
     Sask
    -0.55
    anchester
    -0.55
    POSITIVE LOGITS
    pedia
    0.81
     Anniversary
    0.61
     Worlds
    0.58
    monkey
    0.57
     Despair
    0.56
    hood
    0.55
     trace
    0.55
     lockout
    0.54
     Annotations
    0.53
     Oaks
    0.51
    Activations Density 0.759%

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