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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. 8-RES-JB
    11. 14228
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    INDEX
    Explanations

    detailed descriptions of different types of things or classifications

    oai_token-act-pair · gpt-3.5-turbo

    classifications or categories of different types

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    rir
    -0.66
    ghazi
    -0.64
    abetes
    -0.61
    Rachel
    -0.59
    AIDS
    -0.58
    ãĤ´ãĥ³
    -0.58
    Scotland
    -0.57
    Coun
    -0.55
    arrell
    -0.55
    Nazis
    -0.54
    POSITIVE LOGITS
     discrepancy
    0.76
     occurrences
    0.68
     latter
    0.64
     these
    0.64
     batches
    0.63
     duplicate
    0.63
     unused
    0.61
     datas
    0.61
     drawback
    0.61
     instances
    0.60
    Activations Density 1.199%

    No Known Activations