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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 15735
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    Explanations

    references to items or concepts related to large or excessive size

    oai_token-act-pair · gpt-3.5-turbo

    references to size-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roma
    -0.76
    nee
    -0.74
    endez
    -0.70
    rons
    -0.66
     Yel
    -0.64
    LAN
    -0.62
    ixon
    -0.61
    ario
    -0.60
     literally
    -0.60
    rom
    -0.59
    POSITIVE LOGITS
    size
    1.20
    Size
    0.92
    sized
    0.89
    SIZE
    0.81
    scale
    0.77
     welf
    0.75
    lihood
    0.74
    gest
    0.74
     shrink
    0.72
     mismatch
    0.71
    Activations Density 0.006%

    No Known Activations