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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. 13446
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    Explanations

    instances where quantities are specified in comparison to a larger number

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "more."

    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
    ĺħ
    -0.92
    xtap
    -0.75
     Recording
    -0.72
     Shooter
    -0.71
    imaru
    -0.67
     Record
    -0.66
     Difference
    -0.65
    IDS
    -0.62
    UCK
    -0.62
     Passage
    -0.61
    POSITIVE LOGITS
     than
    1.16
     elaborate
    1.03
     complicated
    1.02
     sophisticated
    0.99
     stringent
    0.96
     manageable
    0.96
     expensive
    0.95
     extensive
    0.95
     detailed
    0.93
     nuanced
    0.91
    Activations Density 0.116%

    No Known Activations