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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. 3654
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    Explanations

    words related to actions and procedures

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to actions, specifically those involving 'act'

    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
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    Negative Logits
    PDATE
    -0.80
    Ń·
    -0.78
    conservancy
    -0.70
     proble
    -0.70
    £ı
    -0.70
    ĨĴ
    -0.70
     Klux
    -0.69
    ceptor
    -0.69
    awaru
    -0.68
    bid
    -0.67
    POSITIVE LOGITS
    ional
    1.30
    uary
    1.08
    uality
    1.00
    uate
    0.94
    ual
    0.94
    uated
    0.94
    ivity
    0.89
    ors
    0.86
    IONS
    0.85
    uation
    0.85
    Activations Density 0.027%

    No Known Activations