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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. 6-RES-JB
    6. 6681
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a return to a previous topic or idea

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igham
    -0.69
    merce
    -0.68
    phas
    -0.67
    lication
    -0.67
    icipated
    -0.64
    ometimes
    -0.63
     conveyed
    -0.61
    Ö¼
    -0.60
    endi
    -0.60
    phalt
    -0.60
    POSITIVE LOGITS
    wing
    0.74
     Main
    0.68
     haunt
    0.67
     grid
    0.66
    forth
    0.62
    ggles
    0.61
     Hick
    0.61
     Races
    0.61
     shore
    0.60
    ven
    0.60
    Activations Density 0.034%

    No Known Activations