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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 10786
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bullpen
    -0.70
    ................................................................
    -0.69
    ball
    -0.69
     defense
    -0.68
    Washington
    -0.67
    cgi
    -0.64
     characterize
    -0.62
     Indians
    -0.62
    ALL
    -0.61
     characterized
    -0.61
    POSITIVE LOGITS
     Tes
    4.10
    Tes
    3.63
     Kes
    1.34
     Cad
    1.20
     Lanc
    1.20
     Aber
    1.15
     Marks
    1.13
     Tos
    1.12
     Mond
    1.12
     Nvidia
    1.08
    Activations Density 0.030%

    No Known Activations