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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. 12322
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    Explanations

    phrases related to technological advancements, progress, and development

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "innovation" and its context in the text

    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
    nee
    -0.81
    ahan
    -0.70
    rolled
    -0.67
    itant
    -0.61
    thia
    -0.61
    loads
    -0.60
     Lumpur
    -0.60
    quarters
    -0.59
    esthetic
    -0.59
    ebin
    -0.57
    POSITIVE LOGITS
     innov
    0.95
     innovation
    0.87
    ulence
    0.82
    iveness
    0.79
     mindset
    0.77
     incub
    0.77
    ously
    0.77
     portfolios
    0.75
     breakthrough
    0.74
     minded
    0.74
    Activations Density 0.025%

    No Known Activations