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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. 3720
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    Explanations

    phrases related to revelations or discoveries

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the act of discovering or learning information

    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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    No Comments

    Negative Logits
    cius
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    Dialogue
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     oun
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    ataka
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    agos
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    ĪĴ
    -0.62
    interstitial
    -0.62
    illus
    -0.61
    erity
    -0.61
    ortunately
    -0.61
    POSITIVE LOGITS
    wards
    0.86
    ledge
    0.80
     how
    0.79
     about
    0.76
    posts
    0.69
    ires
    0.68
     afterwards
    0.67
     ABOUT
    0.66
     why
    0.65
    stadt
    0.64
    Activations Density 0.025%

    No Known Activations