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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. 18091
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    Explanations

    highly emphasized words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to weight measurements or the word "ton."

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Danger
    -0.63
     Forever
    -0.61
     abiding
    -0.60
     commissioners
    -0.59
     Belief
    -0.58
     Ens
    -0.57
     Princ
    -0.56
     resemb
    -0.56
    Known
    -0.55
     Journals
    -0.55
    POSITIVE LOGITS
    neau
    1.18
    ne
    1.14
    nel
    1.01
    eful
    0.98
    icum
    0.97
    ician
    0.96
    ologist
    0.95
    umen
    0.94
    uchin
    0.93
     earthqu
    0.92
    Activations Density 0.057%

    No Known Activations