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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. 15022
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    Explanations

    keywords related to sudden realizations or awakenings

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "realize" and its variations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.85
    picking
    -0.66
    pour
    -0.63
    cgi
    -0.63
    oil
    -0.62
     helmets
    -0.62
     wrists
    -0.62
    reen
    -0.61
    ciating
    -0.61
     injunction
    -0.61
    POSITIVE LOGITS
    ledged
    0.81
     how
    0.78
     realise
    0.75
    REAM
    0.73
    âĶģ
    0.72
    ibility
    0.72
     realize
    0.72
    urities
    0.69
    ensional
    0.68
    izoph
    0.68
    Activations Density 0.042%

    No Known Activations