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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. 8-RES-JB
    11. 11147
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    Explanations

    phrases related to complex issues or projects

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions, particularly the word "and" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ESE
    -0.84
    ULTS
    -0.80
    ICES
    -0.78
    YS
    -0.78
     Lines
    -0.75
     Therapy
    -0.75
     Jackets
    -0.75
     Walls
    -0.71
    ãĤ§
    -0.70
    arks
    -0.70
    POSITIVE LOGITS
    rogen
    1.07
     efficient
    1.00
     imaginative
    0.98
     lucrative
    0.97
     unpre
    0.97
     economical
    0.97
     expensive
    0.97
     powerful
    0.96
     sophisticated
    0.96
     adventurous
    0.96
    Activations Density 0.099%

    No Known Activations