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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. 3-RES-JB
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    Explanations

    phrases indicating putting something aside or setting something apart for a specific purpose

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "set aside" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     coefficients
    -0.76
    acker
    -0.67
    wyn
    -0.63
    itte
    -0.62
     coefficient
    -0.62
    eway
    -0.60
    aimon
    -0.60
    λ
    -0.59
     inverse
    -0.58
    ás
    -0.58
    POSITIVE LOGITS
    heid
    0.96
     aside
    0.83
    manship
    0.77
    comings
    0.71
    MENTS
    0.68
    bats
    0.66
    enance
    0.66
    mental
    0.66
    Enjoy
    0.64
     Unch
    0.63
    Activations Density 0.008%

    No Known Activations