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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
    11. 17170
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    Explanations

    words related to the process of evaporation and dissipation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to evaporation and crystallization

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    erous
    -0.76
    tone
    -0.69
    legged
    -0.69
     Mong
    -0.67
    tie
    -0.67
     Notting
    -0.64
     Venture
    -0.63
     Settlement
    -0.62
     Keeper
    -0.61
    AFTA
    -0.61
    POSITIVE LOGITS
    uating
    0.97
    uates
    0.95
    asion
    0.88
    inators
    0.88
    andum
    0.86
    ating
    0.86
    apor
    0.85
    utical
    0.84
    iners
    0.83
    uation
    0.83
    Activations Density 0.017%

    No Known Activations