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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. 16880
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    Explanations

    statements or claims being questioned or challenged

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "that."

    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
     pione
    -0.87
    ãĤĬ
    -0.86
    oufl
    -0.82
    izont
    -0.81
    umat
    -0.81
    ãĥīãĥ©
    -0.79
    å§«
    -0.79
    arest
    -0.78
    ãĤ´ãĥ³
    -0.78
    ãĥĥ
    -0.78
    POSITIVE LOGITS
     there
    0.96
     they
    0.95
     possibility
    0.92
     aspect
    0.90
     notion
    0.86
     distinction
    0.85
     fact
    0.81
     we
    0.81
     assertion
    0.80
     phrase
    0.79
    Activations Density 0.188%

    No Known Activations