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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. 4-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to software and app development

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    awed
    -0.82
    sbm
    -0.80
    rising
    -0.77
    ead
    -0.75
    ampions
    -0.74
    aukee
    -0.74
    bably
    -0.71
    taboola
    -0.71
    meet
    -0.71
    abama
    -0.70
    POSITIVE LOGITS
     blocker
    0.90
     identifier
    0.89
     wrapper
    0.89
     explorer
    0.86
    code
    0.86
     loader
    0.85
     descriptor
    0.81
     folder
    0.81
    Name
    0.80
     URL
    0.80
    Activations Density 0.208%

    No Known Activations