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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. 8017
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    Explanations

    numerical data related to rates and percentages

    oai_token-act-pair · gpt-3.5-turbo

    statistical data related to rates and percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     arrang
    -0.71
    ĪĴ
    -0.70
    ILA
    -0.60
    aer
    -0.59
    ertodd
    -0.57
     elig
    -0.57
    staking
    -0.56
    edi
    -0.56
     trave
    -0.56
    illion
    -0.56
    POSITIVE LOGITS
     0
    0.91
     62
    0.89
     71
    0.89
     63
    0.88
     39
    0.87
     51
    0.87
     67
    0.87
     58
    0.87
     61
    0.87
     44
    0.86
    Activations Density 0.113%

    No Known Activations