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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. 9-RES-JB
    6. 20570
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    oai_token-act-pair · gpt-3.5-turbo

    periods at the end of sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itely
    -0.74
     due
    -0.73
     disadvantage
    -0.72
     carbohyd
    -0.72
    itionally
    -0.69
    ascus
    -0.68
    bara
    -0.67
    vice
    -0.67
     transition
    -0.65
    ima
    -0.65
    POSITIVE LOGITS
     Anything
    1.39
     Whatever
    1.31
     Everywhere
    1.27
     Somewhere
    1.24
     And
    1.22
     Nope
    1.20
     Lots
    1.20
     Something
    1.20
     Nothing
    1.20
     Everything
    1.17
    Activations Density 0.238%

    No Known Activations