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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. 9752
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    INDEX
    Explanations

    phrases indicating the speaker's opinion or preference

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe distinct sections or elements of experiences

    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
    ternity
    -0.82
    ilings
    -0.67
    İĭ
    -0.61
    ADRA
    -0.61
    iverpool
    -0.61
     kindred
    -0.61
    artney
    -0.60
    Topics
    -0.60
     actionGroup
    -0.59
    untled
    -0.59
    POSITIVE LOGITS
     about
    1.11
     ABOUT
    0.94
     of
    0.93
     happens
    0.81
     happened
    0.76
     thereof
    0.76
     regarding
    0.75
    about
    0.75
     though
    0.74
     About
    0.74
    Activations Density 0.059%

    No Known Activations