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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. 20529
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    Explanations

    phrases describing experiences or actions that are a mix of positive and negative emotions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express consistency or permanence in experiences or qualities

    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
     CLSID
    -0.77
    >>\
    -0.63
    yet
    -0.63
    ettlement
    -0.61
    FINEST
    -0.59
     analogous
    -0.58
    DIT
    -0.58
     ratification
    -0.58
    ALLY
    -0.58
    ·
    -0.58
    POSITIVE LOGITS
    ounters
    0.71
     surprises
    0.69
     underdog
    0.68
    oglu
    0.67
     whichever
    0.65
     lurking
    0.63
    theless
    0.63
     paran
    0.62
     pursu
    0.61
    andro
    0.61
    Activations Density 0.201%

    No Known Activations