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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. 2-RES-JB
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    text snippets tagged as "interesting"

    oai_token-act-pair · gpt-3.5-turbo

    the term "interesting" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oise
    -0.75
    helle
    -0.73
    utz
    -0.72
    á
    -0.71
    reditation
    -0.70
    redited
    -0.67
    eded
    -0.67
    arest
    -0.67
    het
    -0.66
    eding
    -0.66
    POSITIVE LOGITS
     interesting
    0.84
     resil
    0.83
    NESS
    0.80
     tid
    0.80
     Interesting
    0.77
    terday
    0.74
     twists
    0.73
     juicy
    0.73
     surprises
    0.73
     disse
    0.72
    Activations Density 0.017%

    No Known Activations