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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. 7-RES-JB
    11. 7358
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    Explanations

    the word "these" repeated a certain number of times

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "these" as a way to denote specific issues or elements in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    achus
    -0.88
     Pwr
    -0.82
    osate
    -0.75
    onis
    -0.73
    wood
    -0.68
    med
    -0.68
     Painter
    -0.66
    lett
    -0.65
    yi
    -0.64
     Santana
    -0.64
    POSITIVE LOGITS
     kinds
    1.14
     sorts
    1.08
     types
    0.96
     proceedings
    0.89
     developments
    0.88
     endeavors
    0.87
     facts
    0.86
     shores
    0.85
     circumstances
    0.85
     situations
    0.84
    Activations Density 0.127%

    No Known Activations