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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. 2588
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    Explanations

    adjectives that express opinions and emotions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express doubt or skepticism

    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
    ´
    -0.82
    âĢ
    -0.78
    **
    -0.68
     Whilst
    -0.66
    £
    -0.66
    -0.65
    merga
    -0.64
    bleacher
    -0.63
    urrencies
    -0.61
    -0.61
    POSITIVE LOGITS
     postwar
    0.73
     proto
    0.64
     nostalg
    0.64
     enthus
    0.64
     millenn
    0.61
     prest
    0.61
     juven
    0.61
     millennium
    0.60
     nascent
    0.60
     egalitarian
    0.59
    Activations Density 1.293%

    No Known Activations