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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. 20321
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    Explanations

    terms related to different types of perspectives, including financial, ethnic, religious, and immediate memory

    oai_token-act-pair · gpt-3.5-turbo

    terms related to nationalism and financial aspects

    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
    ciating
    -0.73
    borgh
    -0.68
    massive
    -0.64
    ocrates
    -0.64
    apses
    -0.64
    ankind
    -0.63
    ä¸ī
    -0.62
    dain
    -0.60
    ubb
    -0.59
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.59
    POSITIVE LOGITS
     version
    1.24
     aspect
    1.13
     variant
    1.12
     counterpart
    1.09
     category
    1.09
     versions
    1.09
     ones
    1.08
     edition
    1.08
     counterparts
    1.07
     oriented
    1.05
    Activations Density 1.074%

    No Known Activations