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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. 10-RES-JB
    11. 12128
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dul
    -0.96
     DRAG
    -0.88
     Dennis
    -0.88
     Daw
    -0.83
    çĽ
    -0.82
     DL
    -0.82
     DAR
    -0.79
     Dol
    -0.79
    Dro
    -0.79
     Dragons
    -0.79
    POSITIVE LOGITS
    IT
    1.43
    it
    1.31
    ito
    1.20
    ites
    1.20
    itu
    1.15
    ite
    1.14
    itized
    1.14
    iter
    1.14
    itt
    1.12
    its
    1.10
    Activations Density 0.243%

    No Known Activations