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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. 6-RES-JB
    11. 12003
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    Explanations

    specific keywords related to technical documentation, such as "certificate," "limit," and "IP address."

    oai_token-act-pair · gpt-3.5-turbo

    references to various standards, systems, and types of media or formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Woods
    -0.67
     disadvant
    -0.67
    oglu
    -0.63
     Prescott
    -0.62
     wel
    -0.62
     braking
    -0.61
     reckoned
    -0.61
     scrut
    -0.59
     guaranteeing
    -0.59
     bounded
    -0.59
    POSITIVE LOGITS
    /,
    0.90
    /)
    0.84
     alike
    0.82
    RF
    0.79
    terday
    0.78
    utterstock
    0.78
    alog
    0.76
    /-
    0.75
    ussion
    0.75
     combo
    0.75
    Activations Density 0.123%

    No Known Activations