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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. 2-RES-JB
    11. 8221
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    Explanations

    words related to organizing and arranging items based on specific criteria

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interrupted
    -0.78
    runner
    -0.74
    BLE
    -0.73
    rising
    -0.73
    pires
    -0.73
    psey
    -0.72
    PLIED
    -0.71
    raising
    -0.70
    roach
    -0.70
    peria
    -0.69
    POSITIVE LOGITS
     sorting
    1.10
     Parenthood
    0.91
     partName
    0.90
    ãĤ¦ãĤ¹
    0.87
     Sort
    0.86
    Sort
    0.85
     sorted
    0.82
    sort
    0.81
    ãĥĥ
    0.76
     bins
    0.75
    Activations Density 0.015%

    No Known Activations