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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. 9-RES-JB
    11. 2506
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -1.32
     oneself
    -0.79
    FUL
    -0.78
    etheless
    -0.78
     writ
    -0.76
     interchange
    -0.74
     acknow
    -0.74
     eth
    -0.74
     orally
    -0.73
    assetsadobe
    -0.70
    POSITIVE LOGITS
    uctions
    1.16
    itions
    1.10
    enses
    1.06
    istries
    1.05
    erves
    1.03
    ests
    1.03
    gments
    1.03
    iences
    1.01
    ommod
    1.01
    ieties
    1.01
    Activations Density 0.260%

    No Known Activations