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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. 11-RES-JB
    11. 21973
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    Explanations

    instances where the text mentions multiple entities or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "several" and its variations, indicating a frequency or quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IAS
    -0.84
    andr
    -0.70
    ESE
    -0.68
     thence
    -0.68
    DL
    -0.66
    tu
    -0.65
    agame
    -0.65
    atown
    -0.64
    thus
    -0.64
    isu
    -0.64
    POSITIVE LOGITS
     hundred
    1.88
     thousand
    1.72
     dozen
    1.67
     occasions
    1.15
     weeks
    1.08
     months
    1.08
     million
    1.06
     iterations
    1.05
    dozen
    1.05
     times
    1.05
    Activations Density 0.071%

    No Known Activations