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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. 10-RES-JB
    6. 6788
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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 @ 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
    sha
    -0.81
    igraph
    -0.79
    onz
    -0.79
    iard
    -0.75
     cig
    -0.62
     actionGroup
    -0.62
    chairs
    -0.61
    pheus
    -0.60
    ector
    -0.59
    kee
    -0.58
    POSITIVE LOGITS
     surprising
    1.18
     interesting
    1.15
     remarkable
    1.15
     fascinating
    1.08
     noteworthy
    1.05
     striking
    1.02
     notable
    1.01
     intriguing
    1.01
     puzzling
    1.01
     astounding
    1.00
    Activations Density 0.066%

    No Known Activations