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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. 8485
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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
    natureconservancy
    -1.04
    Deal
    -0.81
    ãĤ¤ãĥĪ
    -0.79
    bnb
    -0.79
    ikers
    -0.76
    ORPG
    -0.75
    izards
    -0.75
    IUM
    -0.73
    cycles
    -0.72
    apons
    -0.72
    POSITIVE LOGITS
     final
    1.37
     fourth
    1.19
     fifth
    1.18
     sixth
    1.15
     seventh
    1.14
     concluding
    1.13
     third
    1.10
     eighth
    1.09
     longest
    1.09
     largest
    1.08
    Activations Density 0.088%

    No Known Activations