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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. 5-RES-JB
    6. 17589
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    Explanations

    statements or actions related to decision-making and information-sharing

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to collective experiences and community dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.64
    soever
    -0.60
     herself
    -0.58
     clipboard
    -0.57
     Digest
    -0.56
    EVA
    -0.56
     Ambro
    -0.54
     guiActiveUn
    -0.53
    ikuman
    -0.53
     CRC
    -0.52
    POSITIVE LOGITS
     ourselves
    1.54
     our
    0.93
     ours
    0.82
     OUR
    0.76
     asses
    0.67
     selves
    0.67
     together
    0.60
    Our
    0.59
    yg
    0.59
     collectively
    0.58
    Activations Density 0.839%

    No Known Activations