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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. 3240
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    Explanations

    phrases related to items or concepts that are named or referred to with the word "back"

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "back" in various contexts

    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
    ISION
    -0.68
    IFIED
    -0.65
    vez
    -0.63
     ILCS
    -0.63
     Parenthood
    -0.63
    itta
    -0.62
    urious
    -0.61
     Aires
    -0.60
    oppable
    -0.60
    Irish
    -0.59
    POSITIVE LOGITS
    wards
    1.12
    door
    0.93
    lash
    0.89
    packing
    0.79
    doors
    0.77
    drops
    0.77
    gam
    0.76
    vironment
    0.74
    ward
    0.74
    GROUND
    0.72
    Activations Density 0.031%

    No Known Activations