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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. 1-RES-JB
    11. 2317
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    Explanations

    words related to impressing or being impressed

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to making an impression or impressing others

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     thumb
    -0.73
     prisoner
    -0.66
     captive
    -0.66
    Footnote
    -0.65
     arms
    -0.62
     ferry
    -0.61
     prisoners
    -0.61
     accepting
    -0.59
     parting
    -0.59
    avez
    -0.57
    POSITIVE LOGITS
    ively
    1.34
    ingly
    1.05
    iveness
    0.99
     impress
    0.96
    ments
    0.95
    inates
    0.91
    ety
    0.90
    orate
    0.90
    ional
    0.89
    es
    0.89
    Activations Density 0.013%

    No Known Activations