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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. 6502
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    Explanations

    words related to detailed analysis and examination of data

    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
    little
    -0.64
    birth
    -0.64
    cot
    -0.64
    hold
    -0.58
    mc
    -0.58
    Ann
    -0.57
    twitch
    -0.57
    âĹ¼
    -0.56
     tiny
    -0.56
    gm
    -0.56
    POSITIVE LOGITS
     analysis
    0.92
    alyses
    0.86
     partName
    0.80
     guiActiveUn
    0.77
    WER
    0.76
    racuse
    0.76
    analysis
    0.76
    mble
    0.75
    imony
    0.75
    xual
    0.75
    Activations Density 0.022%

    No Known Activations