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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. 9-RES-JB
    11. 1870
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    Explanations

    numbers and symbols from a specific context

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "won't" and its variations

    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
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    Negative Logits
     Caf
    -0.62
     silhou
    -0.61
     backdrop
    -0.60
     intersect
    -0.58
     Hitch
    -0.58
     deepening
    -0.58
     additive
    -0.57
     Magnet
    -0.57
     pyramid
    -0.57
     Chel
    -0.56
    POSITIVE LOGITS
    iversary
    0.99
    ï¸ı
    0.98
    $
    0.83
    tarian
    0.83
    ship
    0.80
    cade
    0.79
    tarians
    0.77
    ulty
    0.76
    ember
    0.76
    vals
    0.75
    Activations Density 0.102%

    No Known Activations