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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. 10-RES-JB
    6. 18140
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    Explanations

    elements or characteristics within a larger system

    oai_token-act-pair · gpt-3.5-turbo

    terms related to elements in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sburgh
    -0.76
    ceed
    -0.75
    ctors
    -0.75
    rontal
    -0.75
    zee
    -0.72
    figured
    -0.69
    spe
    -0.68
    odore
    -0.68
     Tribune
    -0.65
    lishing
    -0.65
    POSITIVE LOGITS
    ality
    0.96
    als
    0.92
     thereof
    0.88
     elements
    0.84
    aries
    0.79
    witz
    0.79
    ARY
    0.78
    meal
    0.77
     element
    0.77
    hetical
    0.76
    Activations Density 0.027%

    No Known Activations